Download Udacity - Deep Learning Foundation Nanodegree [Course Drive] Torrent

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Udacity - Deep Learning Foundation Nanodegree [Course Drive]

Course Downloaded from coursedrive.net.txt

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428 B

Udacity - Deep Learning Foundation v1.0.0

Course Downloaded from coursedrive.net.txt

TXT

428 B

Part 01-Module 01-Lesson 01_Welcome

01. Welcome to the Deep Learning Nanodegree Foundations.html

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01. Welcome-PdPdogFHnvE.en.vtt

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01. Welcome-PdPdogFHnvE.mp4

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17.58 MB

01. Welcome-PdPdogFHnvE.pt-BR.vtt

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01. Welcome-PdPdogFHnvE.zh-CN.vtt

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02. Projects You Will Build .html

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7.29 KB

02. Projects You Will Build-yDPuDuCMST8.en.vtt

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02. Projects You Will Build-yDPuDuCMST8.mp4

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8.9 MB

03. Meet Your Instructors -EcP0U4720sA.en-US.vtt

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03. Meet Your Instructors -EcP0U4720sA.en.vtt

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03. Meet Your Instructors -EcP0U4720sA.mp4

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03. Meet Your Instructors -EcP0U4720sA.pt-BR.vtt

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03. Meet Your Instructors -EcP0U4720sA.zh-CN.vtt

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03. Meet Your Instructors.html

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04. The First Week.html

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04. The first week-krK-TcGoYUI.en-US.vtt

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04. The first week-krK-TcGoYUI.mp4

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04. The first week-krK-TcGoYUI.pt-BR.vtt

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04. The first week-krK-TcGoYUI.zh-CN.vtt

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05. Prerequisites.html

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06. Community Support.html

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07. Deadline Policy.html

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08. We Value Your Feedback-Dl23R0YCQ0U.en-US.vtt

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08. We Value Your Feedback-Dl23R0YCQ0U.mp4

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08. We Value Your Feedback-Dl23R0YCQ0U.pt-BR.vtt

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08. We Value Your Feedback-Dl23R0YCQ0U.zh-CN.vtt

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08. We Value Your Feedback.html

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09. Getting Set Up.html

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09. Getting-Setup-1SuxTnuQkeE.en.vtt

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09. Getting-Setup-1SuxTnuQkeE.mp4

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09. Getting-Setup-1SuxTnuQkeE.pt-BR.vtt

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09. Getting-Setup-1SuxTnuQkeE.zh-CN.vtt

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img

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screen-shot-2017-01-26-at-2.51.02-pm.png	PNG	302.55 KB
screen-shot-2017-01-26-at-3.29.37-pm.png	PNG	389 KB
view.png	PNG	22.39 KB

index.html

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Part 01-Module 01-Lesson 02_Anaconda

01. Instructor.html

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02. Introduction.html

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02. Why Anaconda-VXukXZv7SCQ.ar.vtt

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02. Why Anaconda-VXukXZv7SCQ.en.vtt

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02. Why Anaconda-VXukXZv7SCQ.mp4

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02. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt

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02. Why Anaconda-VXukXZv7SCQ.zh-CN.vtt

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03. What is Anaconda.html

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04. Installing Anaconda.html

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05. Managing packages.html

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06. Managing environments.html

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07. More environment actions.html

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08. Best practices.html

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09. On Python versions at Udacity.html

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img

conda-create-env.png	PNG	70.79 KB
conda-env-export.png	PNG	64.05 KB
conda-install.png	PNG	81.15 KB
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screen-shot-2018-03-19-at-2.49.57-pm.png	PNG	442.46 KB

index.html

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media

conda_default_install.mp4	MP4	595.3 KB
conda_enter.mp4	MP4	97.26 KB
conda_install.mp4	MP4	201.72 KB

Part 01-Module 01-Lesson 03_Jupyter Notebooks

01. Instructor.html

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02. Jupyter-qiYDWFLyXvg.ar.vtt

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02. Jupyter-qiYDWFLyXvg.en.vtt

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02. Jupyter-qiYDWFLyXvg.mp4

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02. Jupyter-qiYDWFLyXvg.pt-BR.vtt

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02. Jupyter-qiYDWFLyXvg.zh-CN.vtt

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02. What are Jupyter notebooks.html

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03. Installing Jupyter Notebook.html

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04. Launching the notebook server.html

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05. Notebook interface.html

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06. Code cells.html

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07. Markdown cells.html

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08. Keyboard shortcuts.html

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09. Magic keywords.html

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10. Converting notebooks.html

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11. Creating a slideshow.html

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12. Finishing up.html

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img

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conda-tab.png	PNG	109.92 KB
magic-matplotlib.png	PNG	90.72 KB
magic-pdb.png	PNG	68.61 KB
magic-timeit.png	PNG	157.29 KB
magic-timeit2.png	PNG	56.11 KB
nbconvert-example.png	PNG	73.3 KB
new-notebook.png	PNG	101.77 KB
notebook-components.png	PNG	30.25 KB
notebook-download.png	PNG	79.54 KB
notebook-json.png	PNG	95.29 KB
notebook-server.png	PNG	103.33 KB
notebook-shutdown.png	PNG	62.35 KB
screen-shot-2018-03-19-at-2.49.57-pm.png	PNG	442.46 KB
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slides-cell-toolbar-menu.png	PNG	61.36 KB
slides-choose-slide-type.png	PNG	53.31 KB

index.html

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media

Markdown+cells.mp4	MP4	330.36 KB
command+palette.mp4	MP4	169.16 KB
notebook+interface.mp4	MP4	215.47 KB

Part 01-Module 01-Lesson 04_Applying Deep Learning

01. Introduction.html

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02. Style Transfer.html

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03. DeepTraffic.html

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en-US.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.pt-BR.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.zh-CN.vtt

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04. Flappy Bird.html

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05. Books to Read.html

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img

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flappy-bird.jpg	JPG	76.23 KB
grokking-deep-learning.jpg	JPG	69.52 KB
mat-headshot.png	PNG	179.99 KB

index.html

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Part 01-Module 02-Lesson 01_Regression

01. Welcome to Week One-10M2DnJuziE.en-US.vtt

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01. Welcome to Week One-10M2DnJuziE.mp4

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01. Welcome to Week One-10M2DnJuziE.pt-BR.vtt

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01. Welcome to Week One-10M2DnJuziE.zh-CN.vtt

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01. Welcome to Week One.html

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02. Preparing for Siraj's video.html

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03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.en.vtt

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03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.mp4

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03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.pt.vtt

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03. Siraj's Intro to Deep Learning.html

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04. Linear Regression.html

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05. Linear Regression Warnings.html

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06. Multiple Linear Regression.html

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07. Siraj's Live Session.html

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img

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just-a-simple-lin-reg.png	PNG	25.95 KB
lin-reg-no-outliers.png	PNG	28.61 KB
lin-reg-w-outliers.png	PNG	27.55 KB
quadraticlinearregression.png	PNG	23.56 KB

index.html

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Part 01-Module 03-Lesson 01_Matrix Math and NumPy Refresher

01. Introduction.html

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02. Data Dimensions.html

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02. Data Has Dimensions-F4NSv776X0c.en.vtt

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02. Data Has Dimensions-F4NSv776X0c.mp4

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02. Data Has Dimensions-F4NSv776X0c.pt-BR.vtt

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02. Data Has Dimensions-F4NSv776X0c.zh-CN.vtt

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03. Data in NumPy.html

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04. Element-wise Matrix Operations-vjUykZyzko4.en.vtt

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04. Element-wise Matrix Operations-vjUykZyzko4.mp4

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04. Element-wise Matrix Operations-vjUykZyzko4.pt-BR.vtt

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04. Element-wise Matrix Operations-vjUykZyzko4.zh-CN.vtt

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04. Element-wise Matrix Operations.html

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05. Element-wise Operations in NumPy.html

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.en.vtt

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.mp4

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.pt-BR.vtt

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06. Matrix Multiplication Part 1-JRoCFQRP4B0.zh-CN.vtt

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06. Matrix Multiplication Part 1.html

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07. Matrix Multiplication Part 2-8jtk8BzBdj8.en.vtt

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07. Matrix Multiplication Part 2-8jtk8BzBdj8.mp4

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07. Matrix Multiplication Part 2-8jtk8BzBdj8.pt-BR.vtt

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07. Matrix Multiplication Part 2-8jtk8BzBdj8.zh-CN.vtt

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07. Matrix Multiplication Part 2.html

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08. NumPy Matrix Multiplication.html

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09. Matrix Transposes-NVK5xCY3CZE.en-US.vtt

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09. Matrix Transposes-NVK5xCY3CZE.mp4

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09. Matrix Transposes-NVK5xCY3CZE.pt-BR.vtt

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09. Matrix Transposes-NVK5xCY3CZE.zh-CN.vtt

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09. Matrix Transposes.html

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10. Transposes in NumPy.html

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11. NumPy Quiz.html

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10.47 KB

img

input-times-weights.png

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51.82 KB

index.html

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4.33 KB

Part 01-Module 03-Lesson 02_Intro to Neural Networks

01. Introducing Luis-nto-stLuN6M.en-US.vtt

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01. Introducing Luis-nto-stLuN6M.mp4

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3.63 MB

01. Introducing Luis-nto-stLuN6M.pt-BR.vtt

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01. Introducing Luis-nto-stLuN6M.zh-CN.vtt

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01. Introducing Luis.html

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02. Logistic Regression - Question-kSs6O3R7JUI.en-US.vtt

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02. Logistic Regression - Question-kSs6O3R7JUI.mp4

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02. Logistic Regression - Question-kSs6O3R7JUI.pt-BR.vtt

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02. Logistic Regression - Question-kSs6O3R7JUI.zh-CN.vtt

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02. Logistic Regression Quiz.html

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03. Logistic Regression - Solution-1iNylA3fJDs.en-US.vtt

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03. Logistic Regression - Solution-1iNylA3fJDs.mp4

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7.36 MB

03. Logistic Regression - Solution-1iNylA3fJDs.pt-BR.vtt

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03. Logistic Regression - Solution-1iNylA3fJDs.zh-CN.vtt

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03. Logistic Regression Answer.html

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04. Neural Networks-Mqogpnp1lrU.en.vtt

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04. Neural Networks-Mqogpnp1lrU.mp4

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04. Neural Networks-Mqogpnp1lrU.pt-BR.vtt

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04. Neural Networks-Mqogpnp1lrU.zh-CN.vtt

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04. Neural Networks.html

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05. Perceptron.html

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06. AND Perceptron Quiz.html

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07. OR NOT Perceptron Quiz.html

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08. XOR Perceptron Quiz.html

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09. The Simplest Neural Network.html

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10. Gradient Descent-29PmNG7fuuM.en.vtt

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10. Gradient Descent-29PmNG7fuuM.mp4

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10. Gradient Descent-29PmNG7fuuM.pt-BR.vtt

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10. Gradient Descent-29PmNG7fuuM.zh-CN.vtt

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10. Gradient Descent.html

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11. Gradient Descent The Math.html

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11. Gradient Descent-Math-7sxA5Ap8AWM.en.vtt

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11. Gradient Descent-Math-7sxA5Ap8AWM.mp4

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11. Gradient Descent-Math-7sxA5Ap8AWM.pt-BR.vtt

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11. Gradient Descent-Math-7sxA5Ap8AWM.zh-CN.vtt

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12. Gradient Descent The Code.html

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13. Implementing Gradient Descent.html

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14. Multilayer Perceptrons.html

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14. Multilayer perceptrons-Rs9petvTBLk.en-US.vtt

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14. Multilayer perceptrons-Rs9petvTBLk.mp4

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14. Multilayer perceptrons-Rs9petvTBLk.pt-BR.vtt

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14. Multilayer perceptrons-Rs9petvTBLk.zh-CN.vtt

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15. Backpropagation-MZL97-2joxQ.en-US.vtt

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15. Backpropagation-MZL97-2joxQ.mp4

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15. Backpropagation-MZL97-2joxQ.pt-BR.vtt

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15. Backpropagation-MZL97-2joxQ.zh-CN.vtt

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15. Backpropagation.html

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16. Implementing Backpropagation.html

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17. Further Reading.html

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img

a-b-c-fill-nn.png	PNG	305.51 KB
admissions-data.png	PNG	118.38 KB
and-table.png	PNG	69.13 KB
backprop-error.gif	GIF	2.93 KB
backprop-general.gif	GIF	2.2 KB
backprop-network.png	PNG	13.07 KB
backprop-weight-update.gif	GIF	1.68 KB
codecogseqn-2.png	PNG	2.26 KB
derivative-example.png	PNG	55.08 KB
example-after-bias.png	PNG	65.72 KB
example-before-bias.png	PNG	36.91 KB
example-data.png	PNG	92.11 KB
gradient-descent.png	PNG	71.96 KB
heaviside-step-function-2.gif	GIF	3.29 KB
heaviside-step-graph-2.png	PNG	26.27 KB
hidden-errors.gif	GIF	2.8 KB
hidden-layer-weights.gif	GIF	1.75 KB
hq-new-and-or-percep-fixed.png	PNG	92.57 KB
hq-new-plot-perceptron-combine-v2.png	PNG	200.83 KB
hq-new-plot-perceptron-combine.png	PNG	224.89 KB
hq-new-xor-table.png	PNG	38.62 KB
hq-perceptron.png	PNG	115.94 KB
input-times-weights.png	PNG	51.82 KB
inputs-matrix.png	PNG	5.61 KB
legend.png	PNG	102.05 KB
local-minima.png	PNG	38.08 KB
logistic-regression-quiz.png	PNG	984.45 KB
mat-headshot.png	PNG	179.99 KB
matrix-mult-3.png	PNG	78.97 KB
mse.png	PNG	3.21 KB
multilayer-diagram-weights.png	PNG	48.57 KB
network-with-labeled-nodes.png	PNG	52 KB
network-with-labeled-weights.png	PNG	59.44 KB
perceptron-equation-2.gif	GIF	6.08 KB
perceptron-formula.gif	GIF	5.77 KB
perceptron-graphics.001.jpeg	JPEG	232.64 KB
sigmoid.png	PNG	27.73 KB
simple-neuron.png	PNG	49.12 KB
weight-label-reference.gif	GIF	2.83 KB

index.html

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Part 01-Module 03-Lesson 03_Your first neural network

01. Introduction to the Project-dOwEDeJp8yw.en.vtt

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01. Introduction to the Project-dOwEDeJp8yw.mp4

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01. Introduction to the Project-dOwEDeJp8yw.pt-BR.vtt

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01. Introduction to the Project-dOwEDeJp8yw.zh-CN.vtt

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01. Introduction to the Project.html

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Project Description - Your first neural network.html

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Project Rubric - Your first neural network.html

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index.html

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3.75 KB

media

Screen+Shot+2017-01-27+at+11.38.54+AM.png

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Part 02-Module 01-Lesson 01_Model Evaluation and Validation

01. Introduction.html

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6.04 KB

02. Testing-gmxGRJSKEb0.en-US.vtt

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02. Testing-gmxGRJSKEb0.mp4

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02. Testing-gmxGRJSKEb0.pt-BR.vtt

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02. Testing-gmxGRJSKEb0.zh-CN.vtt

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02. Testing.html

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03. Confusion Matrix-Question-9GLNjmMUB_4.en-US.vtt

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03. Confusion Matrix-Question-9GLNjmMUB_4.en.vtt

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03. Confusion Matrix-Question-9GLNjmMUB_4.mp4

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03. Confusion Matrix-Question-9GLNjmMUB_4.pt-BR.vtt

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03. Confusion Matrix-Question-9GLNjmMUB_4.zh-CN.vtt

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03. Confusion Matrix.html

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04. Accuracy Question-AmFoZTf-Hb0.en.vtt

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04. Accuracy Question-AmFoZTf-Hb0.mp4

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04. Accuracy.html

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05. Regression Metrics.html

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05. Regression-Metrics-906P4BPnl9A.en-US.vtt

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05. Regression-Metrics-906P4BPnl9A.mp4

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06. 04 L Types Of Errors-Twf1qnPZeSY.en-US.vtt

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06. 04 L Types Of Errors-Twf1qnPZeSY.mp4

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06. 04 L Types Of Errors-Twf1qnPZeSY.pt-BR.vtt

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06. 04 L Types Of Errors-Twf1qnPZeSY.zh-CN.vtt

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06. Types of Errors.html

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07. Model Complexity Graph-Question-YS5OQCA5cLY.en-US.vtt

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07. Model Complexity Graph-Question-YS5OQCA5cLY.mp4

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07. Model Complexity Graph-Question-YS5OQCA5cLY.pt-BR.vtt

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07. Model Complexity Graph-Question-YS5OQCA5cLY.zh-CN.vtt

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07. Model Complexity Graph.html

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07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.en-US.vtt

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07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4

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07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.pt-BR.vtt

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07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.zh-CN.vtt

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08. K Fold Cross Validation-dRtgSJgSt_I.en-US.vtt

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08. K Fold Cross Validation-dRtgSJgSt_I.mp4

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08. K Fold Cross Validation-dRtgSJgSt_I.pt-BR.vtt

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08. K Fold Cross Validation-dRtgSJgSt_I.zh-CN.vtt

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08. K-Fold Cross Validation.html

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img

accuracy.png	PNG	179.27 KB
complexity.png	PNG	95.64 KB
confusion.png	PNG	188.85 KB
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index.html

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Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask

01. Introducing Andrew Trask-U3PqQF-8qyI.en.vtt	VTT	1.27 KB
01. Introducing Andrew Trask-U3PqQF-8qyI.mp4	MP4	10.79 MB
01. Introducing Andrew Trask-U3PqQF-8qyI.pt-BR.vtt	VTT	1.42 KB
01. Introducing Andrew Trask-U3PqQF-8qyI.zh-CN.vtt	VTT	1.18 KB
01. Introducing Andrew Trask.html	HTML	7.27 KB
02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt	VTT	5.42 KB
02. Andrew Trask - Intro-da1I0mea1jQ.mp4	MP4	23.76 MB
02. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt	VTT	3.68 KB
02. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt	VTT	4.94 KB
02. Meet Andrew.html	HTML	7.24 KB
03. Materials.html	HTML	8.88 KB
04. Framing the Problem-IsTOnkAKaJw.en.vtt	VTT	8.81 KB
04. Framing the Problem-IsTOnkAKaJw.mp4	MP4	17.65 MB
04. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt	VTT	7.85 KB
04. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt	VTT	8.31 KB
04. Framing the Problem.html	HTML	6.93 KB
05. Mini Project 1.html	HTML	7.49 KB
06. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt	VTT	8.83 KB
06. Mini Project 1 Solution-l4r5l0HvHRI.mp4	MP4	24.79 MB
06. Mini Project 1 Solution-l4r5l0HvHRI.pt-BR.vtt	VTT	7.59 KB
06. Mini Project 1 Solution-l4r5l0HvHRI.zh-CN.vtt	VTT	8.85 KB
06. Mini Project 1 Solution.html	HTML	7.22 KB
07. Transforming Text into Numbers-7rHBU5cbePE.en.vtt	VTT	5.04 KB
07. Transforming Text into Numbers-7rHBU5cbePE.mp4	MP4	6.64 MB
07. Transforming Text into Numbers-7rHBU5cbePE.pt-BR.vtt	VTT	4.24 KB
07. Transforming Text into Numbers-7rHBU5cbePE.zh-CN.vtt	VTT	4.34 KB
07. Transforming Text into Numbers.html	HTML	7.01 KB
08. Mini Project 2.html	HTML	9.4 KB
09. Mini Project 2 Solution-45ihpPaeO8E.en.vtt	VTT	5.12 KB
09. Mini Project 2 Solution-45ihpPaeO8E.mp4	MP4	9.22 MB
09. Mini Project 2 Solution-45ihpPaeO8E.pt-BR.vtt	VTT	3.95 KB
09. Mini Project 2 Solution-45ihpPaeO8E.zh-CN.vtt	VTT	4.56 KB
09. Mini Project 2 Solution.html	HTML	7.22 KB
10. Building a Neural Network-aM2k7RTjjJI.en.vtt	VTT	3.3 KB
10. Building a Neural Network-aM2k7RTjjJI.mp4	MP4	10.17 MB
10. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt	VTT	2.88 KB
10. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt	VTT	2.88 KB
10. Building a Neural Network.html	HTML	6.97 KB
11. Mini Project 3.html	HTML	8.45 KB
12. Mini Project 3 Solution-imnxzCev4SI.en.vtt	VTT	18.48 KB
12. Mini Project 3 Solution-imnxzCev4SI.mp4	MP4	54.58 MB
12. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt	VTT	15.8 KB
12. Mini Project 3 Solution-imnxzCev4SI.zh-CN.vtt	VTT	15.84 KB
12. Mini Project 3 Solution.html	HTML	7.22 KB
13. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt	VTT	15.63 KB
13. Understanding Neural Noise-ubqhh4Iv7O4.mp4	MP4	50.21 MB
13. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt	VTT	13.69 KB
13. Understanding Neural Noise-ubqhh4Iv7O4.zh-CN.vtt	VTT	13.47 KB
13. Understanding Neural Noise.html	HTML	6.98 KB
14. Mini Project 4.html	HTML	7.56 KB
15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt	VTT	9.3 KB
15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4	MP4	20.67 MB
15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt	VTT	7.84 KB
15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt	VTT	8.2 KB
15. Understanding Inefficiencies in our Network.html	HTML	7.09 KB
16. Mini Project 5.html	HTML	8.36 KB
17. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt	VTT	9.55 KB
17. Mini Project 5 Solution-Hv86B_jjWTI.mp4	MP4	28.86 MB
17. Mini Project 5 Solution-Hv86B_jjWTI.pt-BR.vtt	VTT	8.27 KB
17. Mini Project 5 Solution-Hv86B_jjWTI.zh-CN.vtt	VTT	8.19 KB
17. Mini Project 5 Solution.html	HTML	7.22 KB
18. Further Noise Reduction-Kl3hWxizKVg.en.vtt	VTT	10.9 KB
18. Further Noise Reduction-Kl3hWxizKVg.mp4	MP4	22.33 MB
18. Further Noise Reduction-Kl3hWxizKVg.pt-BR.vtt	VTT	10.16 KB
18. Further Noise Reduction-Kl3hWxizKVg.zh-CN.vtt	VTT	9.97 KB
18. Further Noise Reduction.html	HTML	6.96 KB
19. Mini Project 6.html	HTML	8.52 KB
20. Mini Project 6 Solution-ji0famK7gOQ.en.vtt	VTT	13.94 KB
20. Mini Project 6 Solution-ji0famK7gOQ.mp4	MP4	39.15 MB
20. Mini Project 6 Solution-ji0famK7gOQ.pt-BR.vtt	VTT	12.17 KB
20. Mini Project 6 Solution-ji0famK7gOQ.zh-CN.vtt	VTT	12.11 KB
20. Mini Project 6 Solution.html	HTML	7.34 KB
21. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt	VTT	13.69 KB
21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4	MP4	33.67 MB
21. Analysis What's Going on in the Weights-UHsT35pbpcE.pt-BR.vtt	VTT	12.59 KB
21. Analysis What's Going on in the Weights-UHsT35pbpcE.zh-CN.vtt	VTT	12.07 KB
21. Analysis What's Going on in the Weights.html	HTML	7.33 KB
22. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt	VTT	2.73 KB
22. Andrew Trask - Outro-nIF0GLOQglQ.mp4	MP4	11.79 MB
22. Andrew Trask - Outro-nIF0GLOQglQ.pt-BR.vtt	VTT	2.19 KB
22. Andrew Trask - Outro-nIF0GLOQglQ.zh-CN.vtt	VTT	2.48 KB
22. Conclusion.html	HTML	6.93 KB
index.html	HTML	5.23 KB

Part 02-Module 02-Lesson 02_Intro to TFLearn

01. Welcome to this lesson!.html

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6.24 KB

02. ReLU and Softmax Activation Functions.html

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14.29 KB

03. Categorical Cross-Entropy.html

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8.58 KB

04. Sentiment Analysis with TFLearn.html

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8.88 KB

04. TFLearn-YF7S6hi4bnc.en-US.vtt

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7.93 KB

04. TFLearn-YF7S6hi4bnc.mp4

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11.77 MB

04. TFLearn-YF7S6hi4bnc.zh-CN.vtt

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7.24 KB

05. Sentiment Analysis Solution SC-s7FKYC5Zcm8.en.vtt

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6.22 KB

05. Sentiment Analysis Solution SC-s7FKYC5Zcm8.mp4

MP4

17.55 MB

05. Sentiment Analysis Solution SC-s7FKYC5Zcm8.pt-BR.vtt

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6.5 KB

05. Sentiment Analysis Solution SC-s7FKYC5Zcm8.zh-CN.vtt

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5.69 KB

05. Sentiment Analysis Solution.html

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6.31 KB

06. Handwritten Digit Recognition.html

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9.34 KB

07. Handwritten Digit Recognition Solution.html

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6.74 KB

img

cezanne-c-600x600.jpg	JPG	186.52 KB
cross-entropy-diagram.png	PNG	62.67 KB
mat-headshot.png	PNG	179.99 KB
mnist-matrix.png	PNG	17.35 KB
relu.png	PNG	33.15 KB
screen-shot-2017-02-02-at-10.00.16-pm.png	PNG	40.59 KB
sigmoids.png	PNG	58.24 KB
softmax-input-output.png	PNG	52.45 KB
softmax-math.png	PNG	4.27 KB
softmax.png	PNG	27.08 KB
z93yz2vrgdaacqjowbaabie8yaaackcwmaaadshdeaaabpwhgaaia0yqwaaecamayaacbngamaajamjaeaaegtxgaaakqjywaaan		6.4 KB

index.html

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4.09 KB

Part 02-Module 02-Lesson 03_Preparing for Siraj's Lesson

01. Introduction.html

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5.31 KB

02. Bag of Words.html

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7.83 KB

03. Converting Documents to Vectors.html

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7.98 KB

04. Word2vec.html

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9.01 KB

05. RNNs and LSTMs.html

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6.06 KB

img

ascii-alphabet.png	PNG	16.8 KB
cat-vec.gif	GIF	1.57 KB
encoding.png	PNG	7.2 KB
mat-headshot.png	PNG	179.99 KB
old-vec.gif	GIF	1.74 KB
vect-add-sub.png	PNG	54.56 KB
vector-dog-cat.png	PNG	106.53 KB

index.html

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3.78 KB

Part 02-Module 03-Lesson 01_MiniFlow

01. Miniflow Introduction-Nqp_UifEwt0.en-US.vtt

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1.19 KB

01. Miniflow Introduction-Nqp_UifEwt0.mp4

MP4

8.04 MB

01. Miniflow Introduction-Nqp_UifEwt0.pt-BR.vtt

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1.23 KB

01. Miniflow Introduction-Nqp_UifEwt0.zh-CN.vtt

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1.11 KB

01. Welcome to MiniFlow.html

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6.02 KB

02. Graphs.html

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10.11 KB

03. MiniFlow Architecture.html

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10.25 KB

04. Forward Propagation.html

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14.99 KB

05. Forward Propagation Solution.html

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13.17 KB

06. Learning and Loss.html

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13.29 KB

07. Linear Transform.html

HTML

19.41 KB

07. Pixels are Features!-qE5YYXtPq9U.en-US.vtt

VTT

72 B

07. Pixels are Features!-qE5YYXtPq9U.mp4

MP4

1.06 MB

07. Pixels are Features!-qE5YYXtPq9U.pt-BR.vtt

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91 B

08. Sigmoid Function.html

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17.29 KB

09. Cost.html

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17.73 KB

10. Cost Solution.html

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7.2 KB

11. Gradient Descent.html

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11.8 KB

12. Backpropagation.html

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36.1 KB

13. Stochastic Gradient Descent.html

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24.05 KB

14. SGD Solution.html

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19.52 KB

15. Outro.html

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6.2 KB

img

12.png	PNG	1.67 KB
19.png	PNG	3.32 KB
21.png	PNG	2.18 KB
addition-graph.png	PNG	68.97 KB
b-1byk.png	PNG	2.02 KB
boston-back-bay-reflection.jpg	JPG	317.9 KB
cost.png	PNG	3.39 KB
dcdl2-grad-fixed.gif	GIF	7.79 KB
dcdl2.png	PNG	1.15 KB
dcdw1-chain.png	PNG	3.92 KB
dcdw1-grad-fixed.gif	GIF	6.03 KB
dcdw2-chain.png	PNG	2.68 KB
dcdw2-grad-fixed.gif	GIF	3.9 KB
dcdw2.png	PNG	1.28 KB
dl1dw1-grad.png	PNG	3.54 KB
dl2ds-grad.png	PNG	3.21 KB
dl2dw2-grad.png	PNG	3.72 KB
dsdl1.png	PNG	5.34 KB
example-neural-network.png	PNG	163.05 KB
gradient-descent-convergence.gif	GIF	26.35 KB
gradient-descent-divergence.gif	GIF	25.56 KB
l2.png	PNG	1.37 KB
neuron-output.png	PNG	2.12 KB
neuron.png	PNG	42.92 KB
neww-nk-fixed.gif	GIF	11.5 KB
neww.png	PNG	2.56 KB
newx-1n.png	PNG	2.27 KB
newx.png	PNG	1.18 KB
pasted-image-at-2016-10-25-01-17-pm.png	PNG	62.75 KB
save-2.png	PNG	10.66 KB
screen-shot-2016-10-21-at-15.43.05.png	PNG	481.52 KB
screen-shot-2016-10-26-at-19.28.34.png	PNG	297.79 KB
tensorflow-825x510.png	PNG	24.5 KB
topological-sort.001.jpeg	JPEG	107.27 KB
two-layer-graph.png	PNG	42.82 KB
w1-backprop-graph.png	PNG	57.33 KB
w2-backprop-graph.png	PNG	50.06 KB
x-mn.png	PNG	9.02 KB
z.png	PNG	1.49 KB

index.html

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4.44 KB

media

input-to-output-2.mp4

MP4

172.03 KB

Part 02-Module 04-Lesson 01_Cloud Computing

01. Overview.html

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6.47 KB

02. Create an AWS Account.html

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5.89 KB

03. Get Access to GPU Instances.html

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8.57 KB

04. Apply Credits.html

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6.63 KB

05. Launch an Instance.html

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12.53 KB

06. Login to the Instance.html

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9.45 KB

07. More Resources.html

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5.39 KB

img

amazonwebservices-logo.svg.png	PNG	107.16 KB
aws-add-sec-group.png	PNG	41.71 KB
aws-create-account.png	PNG	13.5 KB
edit-security-group.png	PNG	12.76 KB
launch-instance.png	PNG	22.52 KB
launch.png	PNG	8.9 KB
p2-limit-increase.png	PNG	188.22 KB
p2xlarge-limit-request.png	PNG	129.66 KB
review-and-launch.png	PNG	15.75 KB
screen-shot-2017-06-13-at-12.58.03-pm.png	PNG	196.32 KB
screen-shot-2017-11-26-at-10.30.15-am.png	PNG	145.1 KB
screen-shot-2017-11-26-at-9.38.24-am.png	PNG	440.9 KB
screen-shot-2017-11-26-at-9.55.20-am.png	PNG	414.22 KB
screen-shot-2018-01-08-at-5.37.22-am.png	PNG	33.23 KB
screen-shot-2018-01-08-at-5.38.03-am.png	PNG	276.13 KB
screen-shot-2018-07-19-at-5.39.37-pm.png	PNG	131.05 KB
stop.png	PNG	47.54 KB

index.html

HTML

3.92 KB

Part 02-Module 04-Lesson 02_Intro to TensorFlow

01. Intro to Vincent .html

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7.65 KB

01. Intro to Vincent-0_M6a04ofz8.en.vtt

VTT

834 B

01. Intro to Vincent-0_M6a04ofz8.mp4

MP4

3.08 MB

01. Intro to Vincent-0_M6a04ofz8.pt-BR.vtt

VTT

841 B

01. Intro to Vincent-0_M6a04ofz8.zh-CN.vtt

VTT

790 B

02. What Is Deep Learning-INt1nULYPak.en.vtt

VTT

1.58 KB

02. What Is Deep Learning-INt1nULYPak.mp4

MP4

5.78 MB

02. What Is Deep Learning-INt1nULYPak.pt-BR.vtt

VTT

1.36 KB

02. What Is Deep Learning-INt1nULYPak.zh-CN.vtt

VTT

1.42 KB

02. What is Deep Learning .html

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7.69 KB

03. Solving Problems - Big And Small-WHcRQMGSbqg.en.vtt

VTT

2.47 KB

03. Solving Problems - Big And Small-WHcRQMGSbqg.mp4

MP4

9.17 MB

03. Solving Problems - Big And Small-WHcRQMGSbqg.pt-BR.vtt

VTT

2.37 KB

03. Solving Problems - Big And Small-WHcRQMGSbqg.zh-CN.vtt

VTT

2.22 KB

03. Solving Problems - Big and Small .html

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7.76 KB

04. Let'S Get Started-ySIDqaXLhHw.en.vtt

VTT

1.26 KB

04. Let'S Get Started-ySIDqaXLhHw.mp4

MP4

1.45 MB

04. Let'S Get Started-ySIDqaXLhHw.pt-BR.vtt

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1.36 KB

04. Let'S Get Started-ySIDqaXLhHw.zh-CN.vtt

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1.2 KB

04. Let's Get Started .html

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7.68 KB

05. Installing TensorFlow.html

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10.1 KB

06. Hello, Tensor World!.html

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10.24 KB

07. Transition to Classification.html

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8.9 KB

08. Supervised Classification-XTGsutypAPE.en.vtt

VTT

1.11 KB

08. Supervised Classification-XTGsutypAPE.mp4

MP4

1.32 MB

08. Supervised Classification-XTGsutypAPE.pt-BR.vtt

VTT

1.14 KB

08. Supervised Classification-XTGsutypAPE.zh-CN.vtt

VTT

1 KB

08. Supervised Classification.html

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7.71 KB

09. Training Your Logistic Classifier .html

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7.77 KB

09. Training Your Logistic Classifier-WQsdr1EJgz8.en.vtt

VTT

2.45 KB

09. Training Your Logistic Classifier-WQsdr1EJgz8.mp4

MP4

2.72 MB

09. Training Your Logistic Classifier-WQsdr1EJgz8.pt-BR.vtt

VTT

2.41 KB

09. Training Your Logistic Classifier-WQsdr1EJgz8.zh-CN.vtt

VTT

2.12 KB

10. Quiz TensorFlow Linear Function.html

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23.16 KB

11. ReLU and Softmax Activation Functions.html

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16.51 KB

12. Quiz TensorFlow Softmax.html

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10.49 KB

13. 13 L One Hot Encoding-phYsxqlilUk.en.vtt

VTT

707 B

13. 13 L One Hot Encoding-phYsxqlilUk.mp4

MP4

732.4 KB

13. 13 L One Hot Encoding-phYsxqlilUk.pt-BR.vtt

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657 B

13. 13 L One Hot Encoding-phYsxqlilUk.zh-CN.vtt

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607 B

13. One-Hot Encoding.html

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8.75 KB

14. Categorical Cross-Entropy.html

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10.8 KB

15. Quiz TensorFlow Cross Entropy.html

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10.86 KB

16. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.en-US.vtt

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3 KB

16. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.mp4

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3.09 MB

16. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.pt-BR.vtt

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3.07 KB

16. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.zh-CN.vtt

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2.89 KB

16. Minimizing Cross Entropy.html

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7.74 KB

17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.en-US.vtt

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793 B

17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.mp4

MP4

3.63 MB

17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.pt-BR.vtt

VTT

707 B

17. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.zh-CN.vtt

VTT

709 B

17. Practical Aspects of Learning.html

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7.85 KB

18. Numerical Stability-_SbGcOS-jcQ.en-US.vtt

VTT

764 B

18. Numerical Stability-_SbGcOS-jcQ.mp4

MP4

631.89 KB

18. Numerical Stability-_SbGcOS-jcQ.pt-BR.vtt

VTT

823 B

18. Numerical Stability-_SbGcOS-jcQ.zh-CN.vtt

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663 B

18. Quiz Numerical Stability.html

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8.44 KB

19. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.en.vtt

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4.26 KB

19. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.mp4

MP4

4.1 MB

19. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.pt-BR.vtt

VTT

4.29 KB

19. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.zh-CN.vtt

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3.56 KB

19. Normalized Inputs and Initial Weights .html

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7.79 KB

20. 21 L Measuring Performance-byP0DJImOSk.en-US.vtt

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5.81 KB

20. 21 L Measuring Performance-byP0DJImOSk.mp4

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5.5 MB

20. 21 L Measuring Performance-byP0DJImOSk.pt-BR.vtt

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6.08 KB

20. 21 L Measuring Performance-byP0DJImOSk.zh-CN.vtt

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5.18 KB

20. Measuring Performance .html

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7.72 KB

21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.en-US.vtt

VTT

845 B

21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.mp4

MP4

3.42 MB

21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.pt-BR.vtt

VTT

769 B

21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.zh-CN.vtt

VTT

777 B

21. Optimizing a Logistic Classifier.html

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7.79 KB

22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.en.vtt

VTT

4.11 KB

22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.mp4

MP4

3.92 MB

22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.pt-BR.vtt

VTT

3.92 KB

22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.zh-CN.vtt

VTT

3.86 KB

22. Stochastic Gradient Descent.html

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7.75 KB

23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.en.vtt

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2.36 KB

23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.mp4

MP4

2.3 MB

23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.pt-BR.vtt

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2.39 KB

23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.zh-CN.vtt

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2.08 KB

23. Momentum and Learning Rate Decay.html

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7.78 KB

24. 32 L Parameter Hyperspace!-5a3-iIhdguc.en.vtt

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2.3 KB

24. 32 L Parameter Hyperspace!-5a3-iIhdguc.mp4

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2.23 MB

24. 32 L Parameter Hyperspace!-5a3-iIhdguc.pt-BR.vtt

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2.51 KB

24. 32 L Parameter Hyperspace!-5a3-iIhdguc.zh-CN.vtt

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2.1 KB

24. Parameter Hyperspace .html

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7.71 KB

25. Quiz Mini-batch.html

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27.14 KB

26. Epochs.html

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14.71 KB

27. Lab TensorFlow Neural Network.html

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12.4 KB

img

06-l-supervised-classification-391-1.jpg	JPG	27.68 KB
cross-entropy-diagram.png	PNG	62.67 KB
download-repo.png	PNG	366.63 KB
linear-equation.gif	GIF	1.23 KB
mnist-012.png	PNG	20.21 KB
notmnist.png	PNG	54.15 KB
relu.png	PNG	33.15 KB
session.png	PNG	30.85 KB
sigmoids.png	PNG	58.24 KB
softmax-input-output.png	PNG	52.45 KB
softmax-math.png	PNG	4.27 KB
softmax.png	PNG	27.08 KB
tensorflow.png	PNG	85.28 KB
weights-0-1-2.png	PNG	24.61 KB
z93yz2vrgdaacqjowbaabie8yaaackcwmaaadshdeaaabpwhgaaia0yqwaaecamayaacbngamaajamjaeaaegtxgaaakqjywaaan		6.4 KB

index.html

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5.83 KB

media

nmn.png

PNG

9.87 KB

Part 02-Module 05-Lesson 01_Deep Neural Networks

01. Intro to Deep Neural Networks.html

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5.83 KB

01. Mat HS-9P7UPWFu8w8.en-US.vtt

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1.55 KB

01. Mat HS-9P7UPWFu8w8.mp4

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8.48 MB

01. Mat HS-9P7UPWFu8w8.zh-CN.vtt

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1.4 KB

02. Two-Layer Neural Network.html

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6.41 KB

03. Quiz TensorFlow ReLUs.html

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9.41 KB

04. Deep Neural Network in TensorFlow.html

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11.57 KB

05. Training a Deep Learning Network-CsB7yUtMJyk.en.vtt

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2.07 KB

05. Training a Deep Learning Network-CsB7yUtMJyk.mp4

MP4

2.56 MB

05. Training a Deep Learning Network-CsB7yUtMJyk.pt-BR.vtt

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2.05 KB

05. Training a Deep Learning Network-CsB7yUtMJyk.zh-CN.vtt

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1.9 KB

05. Training a Deep Learning Network.html

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6.06 KB

06. Save and Restore TensorFlow Models.html

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14.68 KB

07. Finetuning.html

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10.08 KB

08. Regularization Intro-pECnr-5F3_Q.en-US.vtt

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1.45 KB

08. Regularization Intro-pECnr-5F3_Q.en.vtt

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1.44 KB

08. Regularization Intro-pECnr-5F3_Q.ja-JP.vtt

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1.84 KB

08. Regularization Intro-pECnr-5F3_Q.mp4

MP4

8.33 MB

08. Regularization Intro-pECnr-5F3_Q.pt-BR.vtt

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1.3 KB

08. Regularization Intro-pECnr-5F3_Q.zh-CN.vtt

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1.32 KB

08. Regularization Intro.html

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6.23 KB

09. Regularization-QcJBhbuCl5g.en.vtt

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1.47 KB

09. Regularization-QcJBhbuCl5g.mp4

MP4

1.56 MB

09. Regularization-QcJBhbuCl5g.pt-BR.vtt

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1.5 KB

09. Regularization-QcJBhbuCl5g.zh-CN.vtt

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1.27 KB

09. Regularization.html

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5.94 KB

10. Regularization Quiz.html

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6.94 KB

10. Regularization-Quiz-E0eEW6V0_sA.en-US.vtt

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638 B

10. Regularization-Quiz-E0eEW6V0_sA.mp4

MP4

598.33 KB

10. Regularization-Quiz-E0eEW6V0_sA.pt-BR.vtt

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643 B

10. Regularization-Quiz-E0eEW6V0_sA.zh-CN.vtt

VTT

557 B

11. Dropout RENDER-6DcImJS8uV8.en-US.vtt

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2.64 KB

11. Dropout RENDER-6DcImJS8uV8.mp4

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2.58 MB

11. Dropout RENDER-6DcImJS8uV8.pt-BR.vtt

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2.67 KB

11. Dropout RENDER-6DcImJS8uV8.zh-CN.vtt

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2.31 KB

11. Dropout.html

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5.94 KB

12. Dropout Pt. 2-8nG8zzJMbZw.en-US.vtt

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1.23 KB

12. Dropout Pt. 2-8nG8zzJMbZw.mp4

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1.24 MB

12. Dropout Pt. 2-8nG8zzJMbZw.pt-BR.vtt

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1.05 KB

12. Dropout Pt. 2-8nG8zzJMbZw.zh-CN.vtt

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1.1 KB

12. Dropout Pt. 2.html

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5.94 KB

13. Quiz TensorFlow Dropout.html

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13.56 KB

img

dropout-node.jpeg	JPEG	62.69 KB
layers.png	PNG	286.1 KB
multi-layer.png	PNG	214.34 KB
regularization-quiz.png	PNG	420.85 KB
relu-network.png	PNG	31.09 KB
two-layer-network.png	PNG	17.15 KB

index.html

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4.48 KB

Part 02-Module 05-Lesson 02_Convolutional Networks

01. Intro To CNNs.html

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8.58 KB

01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt

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309 B

01. Intro to CNNs-B61jxZ4rkMs.en.vtt

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303 B

01. Intro to CNNs-B61jxZ4rkMs.ja-JP.vtt

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477 B

01. Intro to CNNs-B61jxZ4rkMs.mp4

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1.6 MB

01. Intro to CNNs-B61jxZ4rkMs.pt-BR.vtt

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324 B

01. Intro to CNNs-B61jxZ4rkMs.zh-CN.vtt

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301 B

02. Color-Question-BdQccpMwk80.en.vtt

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739 B

02. Color-Question-BdQccpMwk80.mp4

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819.84 KB

02. Color-Question-BdQccpMwk80.pt-BR.vtt

VTT

683 B

02. Color-Question-BdQccpMwk80.zh-CN.vtt

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612 B

02. Color.html

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8.93 KB

03. Statistical Invariance-0Hr5YwUUhr0.en.vtt

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2.41 KB

03. Statistical Invariance-0Hr5YwUUhr0.mp4

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2.22 MB

03. Statistical Invariance-0Hr5YwUUhr0.pt-BR.vtt

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2.24 KB

03. Statistical Invariance-0Hr5YwUUhr0.zh-CN.vtt

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2.12 KB

03. Statistical Invariance.html

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8.41 KB

04. Convolutional Networks-ISHGyvsT0QY.en.vtt

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4.38 KB

04. Convolutional Networks-ISHGyvsT0QY.mp4

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8.42 MB

04. Convolutional Networks-ISHGyvsT0QY.pt-BR.vtt

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4.45 KB

04. Convolutional Networks-ISHGyvsT0QY.zh-CN.vtt

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3.81 KB

04. Convolutional Networks.html

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8.41 KB

05. Intuition.html

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13.79 KB

06. Filters.html

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14.45 KB

07. Feature Map Sizes.html

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10.96 KB

07. Feature-Map-Sizes-Question-lp1NrLZnCUM.en.vtt

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594 B

07. Feature-Map-Sizes-Question-lp1NrLZnCUM.mp4

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708.93 KB

07. Feature-Map-Sizes-Question-lp1NrLZnCUM.pt-BR.vtt

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663 B

07. Feature-Map-Sizes-Question-lp1NrLZnCUM.zh-CN.vtt

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555 B

07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.en.vtt

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1.05 KB

07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.mp4

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1.15 MB

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1.06 KB

07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.zh-CN.vtt

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969 B

08. Convolutions Cont.-utOv-BKI_vo.en.vtt

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1.03 KB

08. Convolutions Cont.-utOv-BKI_vo.mp4

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1.6 MB

08. Convolutions Cont.-utOv-BKI_vo.pt-BR.vtt

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965 B

08. Convolutions Cont.-utOv-BKI_vo.zh-CN.vtt

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944 B

08. Convolutions continued.html

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8.73 KB

09. Parameters.html

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13.72 KB

10. Quiz Convolution Output Shape.html

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9.44 KB

11. Solution Convolution Output Shape.html

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9.93 KB

12. Quiz Number of Parameters.html

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9.42 KB

13. Solution Number of Parameters.html

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8.4 KB

14. Quiz Parameter Sharing.html

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9.58 KB

15. Solution Parameter Sharing.html

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8.54 KB

16. Visualizing CNNs.html

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15.5 KB

17. TensorFlow Convolution Layer.html

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10.31 KB

18. Explore The Design Space.html

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8.43 KB

18. Explore the Design Space-FG7M9tWH2nQ.en.vtt

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3.39 KB

18. Explore the Design Space-FG7M9tWH2nQ.mp4

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5 MB

18. Explore the Design Space-FG7M9tWH2nQ.pt-BR.vtt

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3.63 KB

18. Explore the Design Space-FG7M9tWH2nQ.zh-CN.vtt

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2.92 KB

19. TensorFlow Max Pooling.html

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10.7 KB

20. Quiz Pooling Intuition.html

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9 KB

21. Solution Pooling Intuition.html

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8.73 KB

22. Quiz Pooling Mechanics.html

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9.62 KB

23. Solution Pooling Mechanics.html

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8.64 KB

24. Quiz Pooling Practice.html

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8.98 KB

25. Solution Pooling Practice.html

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8.26 KB

26. Quiz Average Pooling.html

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8.82 KB

27. Solution Average Pooling.html

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8.27 KB

28. 1x1 Convolutions-Zmzgerm6SjA.en.vtt

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1.69 KB

28. 1x1 Convolutions-Zmzgerm6SjA.mp4

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3.16 MB

28. 1x1 Convolutions-Zmzgerm6SjA.pt-BR.vtt

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1.89 KB

28. 1x1 Convolutions-Zmzgerm6SjA.zh-CN.vtt

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1.48 KB

28. 1x1 Convolutions.html

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8.37 KB

29. Inception Module-SlTm03bEOxA.en.vtt

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1.58 KB

29. Inception Module-SlTm03bEOxA.mp4

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2.62 MB

29. Inception Module-SlTm03bEOxA.pt-BR.vtt

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1.56 KB

29. Inception Module-SlTm03bEOxA.zh-CN.vtt

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1.42 KB

29. Inception Module.html

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8.37 KB

30. Convolutional Network in TensorFlow.html

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18.71 KB

31. TensorFlow Convolution Layer.html

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11.67 KB

32. Solution TensorFlow Convolution Layer.html

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9.63 KB

33. TensorFlow Pooling Layer.html

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10.3 KB

34. Solution TensorFlow Pooling Layer.html

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9.23 KB

35. CNNs - Additional Resources.html

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8.88 KB

img

arch.png	PNG	1.2 MB
convolution-schematic.gif	GIF	63.63 KB
convolutionalnetworksquiz.png	PNG	1.18 MB
diagonal-line-1.png	PNG	5.76 KB
diagonal-line-2.png	PNG	6.62 KB
dog-1210559-1280.jpg	JPG	222.96 KB
filter-depth.png	PNG	127.76 KB
grid-layer-1.png	PNG	35.3 KB
heirarchy-diagram.jpg	JPG	53.61 KB
layer-1-grid.png	PNG	45.73 KB
max-pooling.png	PNG	25.19 KB
maxpool.jpeg	JPEG	37.07 KB
neilsen-pic.png	PNG	11.25 KB
retriever-patch-shifted.png	PNG	443.24 KB
retriever-patch.png	PNG	435.51 KB
screen-shot-2016-11-24-at-10.05.37-pm.png	PNG	12.74 KB
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screen-shot-2016-11-24-at-12.49.08-pm.png	PNG	57.32 KB
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teeth-whiskers-tongue.png	PNG	331.9 KB
vlcsnap-2016-11-24-15h52m47s438.png	PNG	280.29 KB
vlcsnap-2016-11-24-16h01m35s262.png	PNG	341.28 KB

index.html

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6.36 KB

Part 02-Module 05-Lesson 03_Siraj's Image Classification

01. On Keras.html

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5.16 KB

02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.en.vtt

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14.28 KB

02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.mp4

MP4

40.66 MB

02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.pt.vtt

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14.78 KB

02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.ru.vtt

VTT

22.56 KB

02. How to Make an Image Classifier.html

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7.33 KB

img

mat-headshot.png

PNG

179.99 KB

index.html

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3.59 KB

Part 02-Module 05-Lesson 04_Image Classification

01. Introduction to the Project.html	HTML	4.96 KB
01. Project Intro-awEYy2Df3hg.en.vtt	VTT	2.02 KB
01. Project Intro-awEYy2Df3hg.mp4	MP4	2.89 MB
01. Project Intro-awEYy2Df3hg.pt-BR.vtt	VTT	2.06 KB
01. Project Intro-awEYy2Df3hg.zh-CN.vtt	VTT	1.83 KB
Project Description - Image Classification.html	HTML	6.27 KB
Project Rubric - Image Classification.html	HTML	10.38 KB
index.html	HTML	3.72 KB

Part 03-Module 01-Lesson 01_Intro to Recurrent Neural Networks

01. Intro To RNNs-64HSG6HAfEI.en-US.vtt	VTT	4.46 KB
01. Intro To RNNs-64HSG6HAfEI.mp4	MP4	3.99 MB
01. Intro To RNNs-64HSG6HAfEI.pt.vtt	VTT	4.38 KB
01. Intro To RNNs-64HSG6HAfEI.zh-CN.vtt	VTT	3.88 KB
01. Intro to RNNs.html	HTML	6.3 KB
02. LSTMs-RYbSHogZetc.en.vtt	VTT	7.07 KB
02. LSTMs-RYbSHogZetc.mp4	MP4	6.87 MB
02. LSTMs-RYbSHogZetc.pt.vtt	VTT	7.39 KB
02. LSTMs-RYbSHogZetc.zh-CN.vtt	VTT	6.46 KB
02. LSTMs.html	HTML	5.99 KB
03. Character-Wise RNN-dXl3eWCGLdU.en.vtt	VTT	3.33 KB
03. Character-Wise RNN-dXl3eWCGLdU.mp4	MP4	2.88 MB
03. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt	VTT	3.66 KB
03. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt	VTT	3.04 KB
03. Character-wise RNNs.html	HTML	6.09 KB
04. Sequence Batching.html	HTML	6.08 KB
04. Sequence-Batching-Z4OiyU0Cldg.en.vtt	VTT	2.09 KB
04. Sequence-Batching-Z4OiyU0Cldg.mp4	MP4	2.29 MB
04. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt	VTT	2.33 KB
04. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt	VTT	1.92 KB
05. Character-wise RNN Notebook.html	HTML	6.39 KB
06. Implementing a Character-wise RNN-KPCMn_jg2oY.en.vtt	VTT	9.94 KB
06. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4	MP4	13.63 MB
06. Implementing a Character-wise RNN-KPCMn_jg2oY.pt-BR.vtt	VTT	10.69 KB
06. Implementing a Character-wise RNN-KPCMn_jg2oY.zh-CN.vtt	VTT	8.71 KB
06. Implementing a Character-wise RNN.html	HTML	6.19 KB
07. Batching Data Solution-o3nBxHJLQcc.en.vtt	VTT	4.31 KB
07. Batching Data Solution-o3nBxHJLQcc.mp4	MP4	5.08 MB
07. Batching Data Solution-o3nBxHJLQcc.pt-BR.vtt	VTT	4.33 KB
07. Batching Data Solution-o3nBxHJLQcc.zh-CN.vtt	VTT	3.7 KB
07. Batching Data Solution.html	HTML	6.11 KB
08. LSTM Cell-ajC-5uWB8S4.en.vtt	VTT	6.06 KB
08. LSTM Cell-ajC-5uWB8S4.mp4	MP4	7.79 MB
08. LSTM Cell-ajC-5uWB8S4.pt-BR.vtt	VTT	6.21 KB
08. LSTM Cell-ajC-5uWB8S4.zh-CN.vtt	VTT	5.3 KB
08. LSTM Cell.html	HTML	6.02 KB
09. LSTM Cell Solution-X4uA0dq_4jA.en.vtt	VTT	3.13 KB
09. LSTM Cell Solution-X4uA0dq_4jA.mp4	MP4	3.55 MB
09. LSTM Cell Solution-X4uA0dq_4jA.pt-BR.vtt	VTT	3.06 KB
09. LSTM Cell Solution-X4uA0dq_4jA.zh-CN.vtt	VTT	2.82 KB
09. LSTM Cell Solution.html	HTML	6.08 KB
10. RNN Output-RkanDkcrTxs.en.vtt	VTT	5.73 KB
10. RNN Output-RkanDkcrTxs.mp4	MP4	8.92 MB
10. RNN Output-RkanDkcrTxs.pt-BR.vtt	VTT	5.64 KB
10. RNN Output-RkanDkcrTxs.zh-CN.vtt	VTT	5.14 KB
10. RNN Output.html	HTML	6.03 KB
11. Network Loss-itu-uNK4brc.en.vtt	VTT	3.08 KB
11. Network Loss-itu-uNK4brc.mp4	MP4	4.28 MB
11. Network Loss-itu-uNK4brc.pt-BR.vtt	VTT	3.16 KB
11. Network Loss-itu-uNK4brc.zh-CN.vtt	VTT	2.71 KB
11. Network Loss.html	HTML	6.04 KB
12. Output And Loss Solutions-CT8hcU7FmGc.en.vtt	VTT	3.45 KB
12. Output And Loss Solutions-CT8hcU7FmGc.mp4	MP4	4.69 MB
12. Output And Loss Solutions-CT8hcU7FmGc.pt-BR.vtt	VTT	3.21 KB
12. Output And Loss Solutions-CT8hcU7FmGc.zh-CN.vtt	VTT	3.05 KB
12. Output and Loss Solutions.html	HTML	6.13 KB
13. Build The Network-RVNjDlWTBQU.en.vtt	VTT	4.09 KB
13. Build The Network-RVNjDlWTBQU.mp4	MP4	7.1 MB
13. Build The Network-RVNjDlWTBQU.pt-BR.vtt	VTT	4 KB
13. Build The Network-RVNjDlWTBQU.zh-CN.vtt	VTT	3.45 KB
13. Build the Network.html	HTML	6.08 KB
14. Build The Network And Results-hu8iMMqajmQ.en.vtt	VTT	7.81 KB
14. Build The Network And Results-hu8iMMqajmQ.mp4	MP4	13.27 MB
14. Build The Network And Results-hu8iMMqajmQ.pt-BR.vtt	VTT	7.64 KB
14. Build The Network And Results-hu8iMMqajmQ.zh-CN.vtt	VTT	6.85 KB
14. Build the Network Solution.html	HTML	6.15 KB
15. RNN Resources.html	HTML	6.3 KB
index.html	HTML	4.56 KB

Part 03-Module 01-Lesson 02_Siraj's Stock Prediction

01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.en.vtt	VTT	18.83 KB
01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.mp4	MP4	39.42 MB
01. How to Predict Stock Prices Easily.html	HTML	6.29 KB
index.html	HTML	3.53 KB

Part 03-Module 01-Lesson 03_Hyperparameters

01. Introducing Jay.html

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5.82 KB

02. Introduction-erwnzFD7AeE.en.vtt

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2.34 KB

02. Introduction-erwnzFD7AeE.mp4

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2.22 MB

02. Introduction-erwnzFD7AeE.pt-BR.vtt

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2.17 KB

02. Introduction-erwnzFD7AeE.zh-CN.vtt

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2.01 KB

02. Introduction.html

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5.56 KB

03. Learning Rate-HLMjeDez7ps.en.vtt

VTT

11.68 KB

03. Learning Rate-HLMjeDez7ps.mp4

MP4

9.62 MB

03. Learning Rate-HLMjeDez7ps.pt-BR.vtt

VTT

10.29 KB

03. Learning Rate-HLMjeDez7ps.zh-CN.vtt

VTT

10.11 KB

03. Learning Rate.html

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6.12 KB

04. Learning Rate.html

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7.34 KB

05. Minibatch Size-GrrO1NFxaW8.en.vtt

VTT

5.36 KB

05. Minibatch Size-GrrO1NFxaW8.mp4

MP4

4.78 MB

05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt

VTT

4.77 KB

05. Minibatch Size-GrrO1NFxaW8.zh-CN.vtt

VTT

4.77 KB

05. Minibatch Size.html

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5.84 KB

06. Number Of Iterations-TTdHpSb4DV8.en.vtt

VTT

1.63 KB

06. Number Of Iterations-TTdHpSb4DV8.mp4

MP4

1.46 MB

06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt

VTT

1.53 KB

06. Number Of Iterations-TTdHpSb4DV8.zh-CN.vtt

VTT

1.5 KB

06. Number of Training Iterations Epochs.html

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8.29 KB

07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt

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3.23 KB

07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4

MP4

3.4 MB

07. Number Of Hidden Units Layers-IkGAIQH5wH8.pt-BR.vtt

VTT

3.02 KB

07. Number Of Hidden Units Layers-IkGAIQH5wH8.zh-CN.vtt

VTT

2.82 KB

07. Number of Hidden Units Layers.html

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6.49 KB

08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt

VTT

3.87 KB

08. RNN Hyperparameters-yQvnv7l_aUo.mp4

MP4

4.12 MB

08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt

VTT

3.71 KB

08. RNN Hyperparameters-yQvnv7l_aUo.zh-CN.vtt

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3.62 KB

08. RNN Hyperparameters.html

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11.81 KB

09. RNN Hyperparameters.html

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6.55 KB

10. Sources References.html

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6.57 KB

img

f3iwvmld-400x400.jpg

JPG

26.43 KB

index.html

HTML

4.18 KB

Part 03-Module 02-Lesson 01_Embeddings and Word2vec

01. Embeddings Intro.html

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6.91 KB

02. Implementing Word2Vec-7M431_f9HgE.en.vtt

VTT

16.86 KB

02. Implementing Word2Vec-7M431_f9HgE.mp4

MP4

23.33 MB

02. Implementing Word2Vec-7M431_f9HgE.pt-BR.vtt

VTT

17.23 KB

02. Implementing Word2Vec-7M431_f9HgE.zh-CN.vtt

VTT

14.27 KB

02. Implementing Word2Vec.html

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5.52 KB

03. Subsampling Solution-MAUM_mV_lj8.en.vtt

VTT

5.99 KB

03. Subsampling Solution-MAUM_mV_lj8.mp4

MP4

9.65 MB

03. Subsampling Solution-MAUM_mV_lj8.pt-BR.vtt

VTT

6.27 KB

03. Subsampling Solution-MAUM_mV_lj8.zh-CN.vtt

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5.04 KB

03. Subsampling Solution.html

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5.51 KB

04. Making Batches-jx7qwdw-94k.en.vtt

VTT

4.5 KB

04. Making Batches-jx7qwdw-94k.mp4

MP4

7.73 MB

04. Making Batches-jx7qwdw-94k.pt-BR.vtt

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4.51 KB

04. Making Batches-jx7qwdw-94k.zh-CN.vtt

VTT

3.77 KB

04. Making Batches.html

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5.47 KB

05. Batches Solution-DdfR0RjSC-Q.en.vtt

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2.64 KB

05. Batches Solution-DdfR0RjSC-Q.mp4

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3.88 MB

05. Batches Solution-DdfR0RjSC-Q.pt-BR.vtt

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2.5 KB

05. Batches Solution-DdfR0RjSC-Q.zh-CN.vtt

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2.4 KB

05. Batches Solution.html

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5.48 KB

06. Building The Network-fhSb5c6UX6M.en.vtt

VTT

5.14 KB

06. Building The Network-fhSb5c6UX6M.mp4

MP4

8.09 MB

06. Building The Network-fhSb5c6UX6M.pt-BR.vtt

VTT

4.88 KB

06. Building The Network-fhSb5c6UX6M.zh-CN.vtt

VTT

4.12 KB

06. Building the Network.html

HTML

5.51 KB

07. Negative Sampling-gW17AHBKbHY.en.vtt

VTT

2.55 KB

07. Negative Sampling-gW17AHBKbHY.mp4

MP4

4.16 MB

07. Negative Sampling-gW17AHBKbHY.pt-BR.vtt

VTT

2.36 KB

07. Negative Sampling-gW17AHBKbHY.zh-CN.vtt

VTT

2.19 KB

07. Negative Sampling.html

HTML

5.49 KB

08. Building The Network Solution-pkBAhQ2Ki-8.en.vtt

VTT

4.06 KB

08. Building The Network Solution-pkBAhQ2Ki-8.mp4

MP4

7.34 MB

08. Building The Network Solution-pkBAhQ2Ki-8.pt-BR.vtt

VTT

4.03 KB

08. Building The Network Solution-pkBAhQ2Ki-8.zh-CN.vtt

VTT

3.34 KB

08. Building the Network Solution.html

HTML

5.57 KB

09. Training Results-uISA5ns47s8.en.vtt

VTT

4.36 KB

09. Training Results-uISA5ns47s8.mp4

MP4

9.78 MB

09. Training Results-uISA5ns47s8.pt-BR.vtt

VTT

4.38 KB

09. Training Results-uISA5ns47s8.zh-CN.vtt

VTT

3.83 KB

09. Training Results.html

HTML

5.48 KB

img

	linear-relationships.png	PNG	112.35 KB
	mat-headshot.png	PNG	179.99 KB

index.html

HTML

4.11 KB

Part 03-Module 02-Lesson 02_Siraj's Style Transfer

01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.en.vtt	VTT	14.74 KB
01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.mp4	MP4	41.19 MB
01. How to Generate Art.html	HTML	6.6 KB
index.html	HTML	3.5 KB

Part 03-Module 02-Lesson 03_Q&A with FloydHub Founders

01. Floyd QA-KUc59DPfBeo.en-US.vtt	VTT	58.95 KB
01. Floyd QA-KUc59DPfBeo.mp4	MP4	215.66 MB
01. Floyd QA-KUc59DPfBeo.pt-BR.vtt	VTT	48.45 KB
01. FloydHub QA.html	HTML	4.53 KB
index.html	HTML	3.49 KB

Part 03-Module 03-Lesson 01_TensorBoard

01. TensorBoard Intro.html

HTML

6.03 KB

02. TensorBoard Graphs 1-M64FWxf1yK4.en.vtt

VTT

8.69 KB

02. TensorBoard Graphs 1-M64FWxf1yK4.mp4

MP4

12.05 MB

02. TensorBoard Graphs 1-M64FWxf1yK4.pt-BR.vtt

VTT

7.27 KB

02. TensorBoard Graphs 1-M64FWxf1yK4.zh-CN.vtt

VTT

7.66 KB

02. Viewing Graphs.html

HTML

5.07 KB

03. Name Scopes.html

HTML

5.06 KB

03. TensorBoard Graphs 2-REmz7HUj6f4.en.vtt

VTT

8.09 KB

03. TensorBoard Graphs 2-REmz7HUj6f4.mp4

MP4

11.07 MB

03. TensorBoard Graphs 2-REmz7HUj6f4.pt-BR.vtt

VTT

6.87 KB

03. TensorBoard Graphs 2-REmz7HUj6f4.zh-CN.vtt

VTT

7.31 KB

04. Inspecting Variables.html

HTML

5.09 KB

04. TensorBoard Variables 1-QG41p4Wx5wc.en.vtt

VTT

13.57 KB

04. TensorBoard Variables 1-QG41p4Wx5wc.mp4

MP4

18.97 MB

04. TensorBoard Variables 1-QG41p4Wx5wc.pt-BR.vtt

VTT

10.92 KB

04. TensorBoard Variables 1-QG41p4Wx5wc.zh-CN.vtt

VTT

12.62 KB

05. Choosing Hyperparameters.html

HTML

5.12 KB

05. TensorBoard Hyperparameters-THiwPbkjoLQ.en.vtt

VTT

9.67 KB

05. TensorBoard Hyperparameters-THiwPbkjoLQ.mp4

MP4

14.37 MB

05. TensorBoard Hyperparameters-THiwPbkjoLQ.pt-BR.vtt

VTT

8.49 KB

05. TensorBoard Hyperparameters-THiwPbkjoLQ.zh-CN.vtt

VTT

8.85 KB

img

mat-headshot.png

PNG

179.99 KB

index.html

HTML

3.76 KB

Part 03-Module 03-Lesson 02_Siraj's Music Generation

01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.en.vtt	VTT	14.51 KB
01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.mp4	MP4	43.47 MB
01. How to Generate Music.html	HTML	7.15 KB
02. How to Succeed in any Programming Interview-5KB5KAak6tM.en.vtt	VTT	12.07 KB
02. How to Succeed in any Programming Interview-5KB5KAak6tM.ko.vtt	VTT	17.44 KB
02. How to Succeed in any Programming Interview-5KB5KAak6tM.mp4	MP4	26.98 MB
02. How to Succeed in any Programming Interview-5KB5KAak6tM.ru.vtt	VTT	17.8 KB
02. How to Succeed in any Programming Interview.html	HTML	5 KB
index.html	HTML	3.63 KB

Part 03-Module 04-Lesson 01_Siraj's Text Summarization

01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.en.vtt	VTT	17.89 KB
01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.fi.vtt	VTT	16.92 KB
01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.mp4	MP4	36.28 MB
01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.pt-BR.vtt	VTT	17.28 KB
01. How to Make a Text Summarizer.html	HTML	6.56 KB
index.html	HTML	3.52 KB

Part 03-Module 04-Lesson 02_Weight Initialization

01. Weight Initialization Intro.html

HTML

5.65 KB

02. Ones and Zeros.html

HTML

5.2 KB

02. Weight Initialization 1-6vXMYu_TQIA.en.vtt

VTT

9.67 KB

02. Weight Initialization 1-6vXMYu_TQIA.mp4

MP4

10.75 MB

02. Weight Initialization 1-6vXMYu_TQIA.pt-BR.vtt

VTT

8.17 KB

02. Weight Initialization 1-6vXMYu_TQIA.zh-CN.vtt

VTT

8.12 KB

03. Uniform Distribution.html

HTML

5.21 KB

03. Weight Initialization 2-BI3f0Cdc_nU.en.vtt

VTT

9.47 KB

03. Weight Initialization 2-BI3f0Cdc_nU.mp4

MP4

11.1 MB

03. Weight Initialization 2-BI3f0Cdc_nU.pt-BR.vtt

VTT

8.37 KB

03. Weight Initialization 2-BI3f0Cdc_nU.zh-CN.vtt

VTT

7.97 KB

04. Too Small.html

HTML

5.19 KB

04. Weight Initialization 3-JIQl0jMpdsI.en.vtt

VTT

4.24 KB

04. Weight Initialization 3-JIQl0jMpdsI.mp4

MP4

5.43 MB

04. Weight Initialization 3-JIQl0jMpdsI.pt-BR.vtt

VTT

3.66 KB

04. Weight Initialization 3-JIQl0jMpdsI.zh-CN.vtt

VTT

3.57 KB

05. Normal Distribution.html

HTML

5.21 KB

05. Weight Initialization 4-FM6t7AsodGQ.en.vtt

VTT

8.32 KB

05. Weight Initialization 4-FM6t7AsodGQ.mp4

MP4

9.56 MB

05. Weight Initialization 4-FM6t7AsodGQ.pt-BR.vtt

VTT

7.27 KB

05. Weight Initialization 4-FM6t7AsodGQ.zh-CN.vtt

VTT

6.79 KB

06. Additional Material.html

HTML

5.44 KB

img

mat-headshot.png

PNG

179.99 KB

index.html

HTML

3.86 KB

Part 03-Module 04-Lesson 03_Sentiment Prediction RNN

01. Intro.html

HTML

6.34 KB

02. Sentiment Prediction-uGN3rZJRiMY.en.vtt

VTT

8.66 KB

02. Sentiment Prediction-uGN3rZJRiMY.mp4

MP4

11.25 MB

02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt

VTT

7.33 KB

02. Sentiment Prediction-uGN3rZJRiMY.zh-CN.vtt

VTT

8 KB

02. Sentiment RNN.html

HTML

5.24 KB

03. Data Preprocessing-h4-LwZU9_k8.en.vtt

VTT

5.33 KB

03. Data Preprocessing-h4-LwZU9_k8.mp4

MP4

6.86 MB

03. Data Preprocessing-h4-LwZU9_k8.pt-BR.vtt

VTT

4.56 KB

03. Data Preprocessing-h4-LwZU9_k8.zh-CN.vtt

VTT

4.45 KB

03. Data Preprocessing.html

HTML

5.24 KB

04. Creating Testing Sets-BRBbrNLz1ho.en.vtt

VTT

2.02 KB

04. Creating Testing Sets-BRBbrNLz1ho.mp4

MP4

2.13 MB

04. Creating Testing Sets-BRBbrNLz1ho.pt-BR.vtt

VTT

1.74 KB

04. Creating Testing Sets-BRBbrNLz1ho.zh-CN.vtt

VTT

1.68 KB

04. Creating Testing Sets.html

HTML

5.58 KB

05. Building The RNN 1-XTD6slf64fM.en.vtt

VTT

13.87 KB

05. Building The RNN 1-XTD6slf64fM.mp4

MP4

19.11 MB

05. Building The RNN 1-XTD6slf64fM.pt-BR.vtt

VTT

12.3 KB

05. Building The RNN 1-XTD6slf64fM.zh-CN.vtt

VTT

12.07 KB

05. Building the RNN.html

HTML

5.43 KB

06. Training The Network-nknJ3Xu3ld0.en.vtt

VTT

6.38 KB

06. Training The Network-nknJ3Xu3ld0.mp4

MP4

8.41 MB

06. Training The Network-nknJ3Xu3ld0.pt-BR.vtt

VTT

5.7 KB

06. Training The Network-nknJ3Xu3ld0.zh-CN.vtt

VTT

5.42 KB

06. Training the Network.html

HTML

5.25 KB

07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt

VTT

17.68 KB

07. Sentiment RNN 2-V9YGGjmoHS0.mp4

MP4

23.11 MB

07. Sentiment RNN 2-V9YGGjmoHS0.pt-BR.vtt

VTT

15.77 KB

07. Sentiment RNN 2-V9YGGjmoHS0.zh-CN.vtt

VTT

14.72 KB

07. Solutions.html

HTML

5.21 KB

img

mat-headshot.png

PNG

179.99 KB

index.html

HTML

3.9 KB

Part 03-Module 04-Lesson 04_Generate TV Scripts

01. Introduction.html	HTML	5.13 KB
01. Project-3-Intro-qNpv7IjQzo0.en-US.vtt	VTT	701 B
01. Project-3-Intro-qNpv7IjQzo0.en.vtt	VTT	667 B
01. Project-3-Intro-qNpv7IjQzo0.mp4	MP4	667.23 KB
01. Project-3-Intro-qNpv7IjQzo0.pt-BR.vtt	VTT	720 B
01. Project-3-Intro-qNpv7IjQzo0.zh-CN.vtt	VTT	640 B
02. TV Script Workspace.html	HTML	5.44 KB
Project Description - Generate TV Scripts.html	HTML	6.53 KB
Project Rubric - Generate TV Scripts.html	HTML	12.85 KB
index.html	HTML	3.76 KB

Part 03-Module 05-Lesson 01_Transfer Learning in TensorFlow

01. Transfer Learning Intro.html

HTML

7.12 KB

02. Transfer Learning with VGGNet.html

HTML

5.59 KB

02. Transfer Learning--WmQwYr0DYjY.en.vtt

VTT

6.92 KB

02. Transfer Learning--WmQwYr0DYjY.mp4

MP4

8.28 MB

02. Transfer Learning--WmQwYr0DYjY.pt-BR.vtt

VTT

6.01 KB

02. Transfer Learning--WmQwYr0DYjY.zh-CN.vtt

VTT

6.42 KB

03. Building VGGNet-615SslQiGvo.en.vtt

VTT

7.52 KB

03. Building VGGNet-615SslQiGvo.mp4

MP4

8.87 MB

03. Building VGGNet-615SslQiGvo.pt-BR.vtt

VTT

6.26 KB

03. Building VGGNet-615SslQiGvo.zh-CN.vtt

VTT

6.26 KB

03. VGGNet.html

HTML

5.53 KB

04. Pretrained VGGNet-BpzI6Svmuv8.en.vtt

VTT

2.04 KB

04. Pretrained VGGNet-BpzI6Svmuv8.mp4

MP4

3.16 MB

04. Pretrained VGGNet-BpzI6Svmuv8.pt-BR.vtt

VTT

1.74 KB

04. Pretrained VGGNet-BpzI6Svmuv8.zh-CN.vtt

VTT

1.71 KB

04. VGGNet Solution.html

HTML

5.56 KB

05. Data Preparation-WfsDMq-b3y4.en.vtt

VTT

7.04 KB

05. Data Preparation-WfsDMq-b3y4.mp4

MP4

9.23 MB

05. Data Preparation-WfsDMq-b3y4.pt-BR.vtt

VTT

6.15 KB

05. Data Preparation-WfsDMq-b3y4.zh-CN.vtt

VTT

6.34 KB

05. Data Preparation.html

HTML

5.55 KB

06. Data Preparation Solution.html

HTML

5.57 KB

06. Data Preparation-WEtKkHlhhZA.en.vtt

VTT

3.52 KB

06. Data Preparation-WEtKkHlhhZA.mp4

MP4

4.4 MB

06. Data Preparation-WEtKkHlhhZA.pt-BR.vtt

VTT

3.01 KB

06. Data Preparation-WEtKkHlhhZA.zh-CN.vtt

VTT

3.3 KB

07. Building The Classifier-pPHiVddBY0Q.en.vtt

VTT

1.61 KB

07. Building The Classifier-pPHiVddBY0Q.mp4

MP4

1.99 MB

07. Building The Classifier-pPHiVddBY0Q.pt-BR.vtt

VTT

1.41 KB

07. Building The Classifier-pPHiVddBY0Q.zh-CN.vtt

VTT

1.53 KB

07. Classifier.html

HTML

5.58 KB

08. Building The Classifier-6ifxRQ_gL7w.en.vtt

VTT

3.61 KB

08. Building The Classifier-6ifxRQ_gL7w.mp4

MP4

3.99 MB

08. Building The Classifier-6ifxRQ_gL7w.pt-BR.vtt

VTT

3.13 KB

08. Building The Classifier-6ifxRQ_gL7w.zh-CN.vtt

VTT

2.95 KB

08. Classifier Solution.html

HTML

5.59 KB

09. Training The Classifier-b7Fy3cIoJ1Y.en.vtt

VTT

3.34 KB

09. Training The Classifier-b7Fy3cIoJ1Y.mp4

MP4

4.19 MB

09. Training The Classifier-b7Fy3cIoJ1Y.pt-BR.vtt

VTT

2.63 KB

09. Training The Classifier-b7Fy3cIoJ1Y.zh-CN.vtt

VTT

2.81 KB

09. Training.html

HTML

5.57 KB

10. Training And Testing-NLPtmQjGYCA.en.vtt

VTT

5.83 KB

10. Training And Testing-NLPtmQjGYCA.mp4

MP4

8.23 MB

10. Training And Testing-NLPtmQjGYCA.pt-BR.vtt

VTT

5.06 KB

10. Training And Testing-NLPtmQjGYCA.zh-CN.vtt

VTT

4.73 KB

10. Training solution.html

HTML

5.58 KB

img

mat-headshot.png

PNG

179.99 KB

index.html

HTML

4.16 KB

Part 03-Module 05-Lesson 02_Siraj's Language Translation

01. How to Make a Language Translator - Intro to Deep Learning #11-nRBnh4qbPHI.en.vtt	VTT	13.7 KB
01. How to Make a Language Translator - Intro to Deep Learning #11-nRBnh4qbPHI.mp4	MP4	36.56 MB
01. How to Make a Language Translator.html	HTML	7.51 KB
index.html	HTML	3.54 KB

Part 03-Module 06-Lesson 01_Sequence to Sequence

01. Introducing Jay Alammar.html

HTML

6.28 KB

02. Jay Introduction.html

HTML

5.62 KB

02. Jay's Introduction-HPOzAlXhuxQ.en.vtt

VTT

5.72 KB

02. Jay's Introduction-HPOzAlXhuxQ.mp4

MP4

5.81 MB

02. Jay's Introduction-HPOzAlXhuxQ.pt-BR.vtt

VTT

5.58 KB

02. Jay's Introduction-HPOzAlXhuxQ.zh-CN.vtt

VTT

5.15 KB

03. Applications seq2seq-tDJBDwriJYQ.en.vtt

VTT

2.63 KB

03. Applications seq2seq-tDJBDwriJYQ.mp4

MP4

2.48 MB

03. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt

VTT

2.5 KB

03. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt

VTT

2.41 KB

03. Applications.html

HTML

5.6 KB

04. Architecture encoder decoder-dkHdEAJnV_w.en.vtt

VTT

5.45 KB

04. Architecture encoder decoder-dkHdEAJnV_w.mp4

MP4

4.49 MB

04. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt

VTT

4.92 KB

04. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt

VTT

4.82 KB

04. Architectures.html

HTML

5.64 KB

05. Architecture in More Depth-rdAo4MqLbEk.en.vtt

VTT

5.17 KB

05. Architecture in More Depth-rdAo4MqLbEk.mp4

MP4

5.35 MB

05. Architecture in More Depth-rdAo4MqLbEk.pt-BR.vtt

VTT

5.02 KB

05. Architecture in More Depth-rdAo4MqLbEk.zh-CN.vtt

VTT

4.56 KB

05. Architectures in More Depth.html

HTML

5.66 KB

06. Preprocessing-ktQW6p9pOS4.en.vtt

VTT

7.27 KB

06. Preprocessing-ktQW6p9pOS4.mp4

MP4

8.88 MB

06. Preprocessing-ktQW6p9pOS4.pt-BR.vtt

VTT

6.81 KB

06. Preprocessing-ktQW6p9pOS4.zh-CN.vtt

VTT

6.4 KB

06. Preprocessing.html

HTML

6.13 KB

07. Sequence to sequence in TensorFlow.html

HTML

8.54 KB

08. Inputs.html

HTML

15.83 KB

09. Further Reading.html

HTML

6.07 KB

10. Sequence to Sequence in TensorFlow.html

HTML

5.78 KB

img

mat-headshot.png	PNG	179.99 KB
sequence-to-sequence-embedding-encoder-decoder.png	PNG	21.96 KB
sequence-to-sequence-high-level-encoder-decoder.png	PNG	11.54 KB
sequence-to-sequence-unrolled-encoder-decoder.png	PNG	22.5 KB

index.html

HTML

4.19 KB

Part 03-Module 06-Lesson 02_Siraj's Chatbot

01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.en.vtt	VTT	16.8 KB
01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.mp4	MP4	47.55 MB
01. How to Make a Chatbot.html	HTML	6.62 KB
index.html	HTML	3.49 KB

Part 03-Module 07-Lesson 01_Reinforcement Learning

01. Reinforcement Learning Lesson.html

HTML

6.08 KB

02. 01 Q-Learning-Npu9gyD6-4o.en.vtt

VTT

2.81 KB

02. 01 Q-Learning-Npu9gyD6-4o.mp4

MP4

3.09 MB

02. 01 Q-Learning-Npu9gyD6-4o.pt-BR.vtt

VTT

2.78 KB

02. 01 Q-Learning-Npu9gyD6-4o.zh-CN.vtt

VTT

2.57 KB

02. Reinforcement Learning.html

HTML

4.98 KB

03. 02 Q-Learning-WQgdnzzhSLM.en.vtt

VTT

9.75 KB

03. 02 Q-Learning-WQgdnzzhSLM.mp4

MP4

10.61 MB

03. 02 Q-Learning-WQgdnzzhSLM.pt-BR.vtt

VTT

9.33 KB

03. 02 Q-Learning-WQgdnzzhSLM.zh-CN.vtt

VTT

8.55 KB

03. Q-Learning.html

HTML

4.95 KB

04. Deep Q-Learning.html

HTML

5.99 KB

img

mat-headshot.png

PNG

179.99 KB

index.html

HTML

3.72 KB

Part 03-Module 07-Lesson 02_Siraj's Reinforcement Learning

01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.en.vtt	VTT	17.2 KB
01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.mp4	MP4	51.99 MB
01. How to Win Slot Machines.html	HTML	6.78 KB
index.html	HTML	3.52 KB

Part 03-Module 07-Lesson 03_Translation Project

01. Introduction.html	HTML	4.96 KB
01. Machine Translation Intro-5thBwpcYoiI.en.vtt	VTT	1.08 KB
01. Machine Translation Intro-5thBwpcYoiI.mp4	MP4	3.86 MB
01. Machine Translation Intro-5thBwpcYoiI.pt-BR.vtt	VTT	1009 B
01. Machine Translation Intro-5thBwpcYoiI.zh-CN.vtt	VTT	1 KB
Project Description - Translation Project.html	HTML	5.94 KB
Project Rubric - Translation Project.html	HTML	9.59 KB
index.html	HTML	3.69 KB

Part 03-Module 08-Lesson 01_Siraj's Image Generation

01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.en.vtt	VTT	16.52 KB
01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.mp4	MP4	50.72 MB
01. How to Generate Images.html	HTML	6.87 KB
index.html	HTML	3.51 KB

Part 03-Module 08-Lesson 02_Autoencoders

01. Autoencoder Lesson Intro.html

HTML

6.49 KB

02. Autoencoders-ar5Iyx68cWc.en.vtt

VTT

2.41 KB

02. Autoencoders-ar5Iyx68cWc.mp4

MP4

2.22 MB

02. Autoencoders-ar5Iyx68cWc.pt-BR.vtt

VTT

2.36 KB

02. Autoencoders-ar5Iyx68cWc.zh-CN.vtt

VTT

2.18 KB

02. Autoencoders.html

HTML

5.2 KB

03. A Simple Autoencoder.html

HTML

5.03 KB

03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.en.vtt

VTT

12.95 KB

03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.mp4

MP4

15.66 MB

04. Simple Autoencoder Solution-Nv_D6DHfEk8.en.vtt

VTT

7.04 KB

04. Simple Autoencoder Solution-Nv_D6DHfEk8.mp4

MP4

8.59 MB

04. Simple Autoencoder Solution-Nv_D6DHfEk8.pt-BR.vtt

VTT

6.43 KB

04. Simple Autoencoder Solution-Nv_D6DHfEk8.zh-CN.vtt

VTT

5.88 KB

04. Simple Autoencoder Solution.html

HTML

5.31 KB

05. Convolutional Autoencoders-18SZVRaumGs.en.vtt

VTT

14.17 KB

05. Convolutional Autoencoders-18SZVRaumGs.mp4

MP4

21.51 MB

05. Convolutional Autoencoders-18SZVRaumGs.pt-BR.vtt

VTT

13.87 KB

05. Convolutional Autoencoders-18SZVRaumGs.zh-CN.vtt

VTT

12.04 KB

05. Convolutional Autoencoders.html

HTML

5.3 KB

06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.en.vtt

VTT

8.1 KB

06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.mp4

MP4

12.68 MB

06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.pt-BR.vtt

VTT

7.78 KB

06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.zh-CN.vtt

VTT

7 KB

06. Convolutional Autoencoders Solution.html

HTML

5.36 KB

img

	autoencoder-1.png	PNG	24.69 KB
	mat-headshot.png	PNG	179.99 KB

index.html

HTML

3.92 KB

Part 04-Module 01-Lesson 01_Generative Adversarial Networks

01. GANs Intro-F7XgI6TmaGI.en-US.vtt

VTT

1.57 KB

01. GANs Intro-F7XgI6TmaGI.en.vtt

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01. GANs Intro-F7XgI6TmaGI.mp4

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3.24 MB

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1.29 KB

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01. Introducing Ian Goodfellow.html

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6.55 KB

02. Cool Things To Do With GANs-bo-ToTdhgew.en.vtt

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02. Cool Things To Do With GANs-bo-ToTdhgew.mp4

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11.98 MB

02. Cool Things To Do With GANs-bo-ToTdhgew.pt-BR.vtt

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02. What can you do with GANs.html

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03. How GANs work.html

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6.82 KB

03. Other Generative Models, How GANs Work-MF0QCP1OC9I.en.vtt

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03. Other Generative Models, How GANs Work-MF0QCP1OC9I.mp4

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10.28 MB

03. Other Generative Models, How GANs Work-MF0QCP1OC9I.pt-BR.vtt

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7.48 KB

03. Other Generative Models, How GANs Work-MF0QCP1OC9I.zh-CN.vtt

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04. Games and Equilibria.html

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6.57 KB

04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.en.vtt

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10.72 KB

04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.mp4

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13.4 MB

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05. GANs Architecture -gaEs7ccZv_Q.en.vtt

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05. GANs Architecture -gaEs7ccZv_Q.mp4

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15.96 MB

05. GANs Architecture -gaEs7ccZv_Q.pt-BR.vtt

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12.52 KB

05. GANs Architecture -gaEs7ccZv_Q.zh-CN.vtt

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10.22 KB

05. Practical tips and tricks for training GANs.html

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6.51 KB

06. Build a GAN.html

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7.21 KB

07. Get started with a GAN.html

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6.5 KB

07. Getting Started with GANs-QA2ntKUha4g.en.vtt

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08. Generator Network-btHVXnICmzQ.en.vtt

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08. Generator Network-btHVXnICmzQ.mp4

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6.08 KB

08. Generator Network.html

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6.45 KB

09. Discriminator Network-nWXxT8OqCfs.en.vtt

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09. Discriminator Network-nWXxT8OqCfs.mp4

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1.04 MB

09. Discriminator Network-nWXxT8OqCfs.pt-BR.vtt

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939 B

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1.06 KB

09. Discriminator Network.html

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6.48 KB

10. Generator and Discriminator Solutions-9By2pAck044.en.vtt

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10. Generator and Discriminator Solutions-9By2pAck044.mp4

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10. Generator and Discriminator Solutions.html

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11. Building the Network-5sZkRSHfiAE.en.vtt

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11. Building the Network-5sZkRSHfiAE.mp4

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11. Building the Network.html

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6.47 KB

12. Building the Network Solution-Ikp3rVzG970.en.vtt

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12. Building the Network Solution-Ikp3rVzG970.mp4

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12. Building the Network Solution.html

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6.54 KB

13. Training Losses-IaAeDrXMEcU.en.vtt

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13. Training Losses-IaAeDrXMEcU.mp4

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13. Training Losses.html

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14. Training Optimizers-AU5gH7LS57E.en.vtt

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14. Training Optimizers-AU5gH7LS57E.mp4

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3.45 MB

14. Training Optimizers-AU5gH7LS57E.pt-BR.vtt

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14. Training Optimizers.html

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15. Training Losses and Optimizers Solution.html

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6.61 KB

15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.en.vtt

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15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.mp4

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6.82 MB

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16. A Trained GAN-TR-uEJcjig4.en.vtt

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16. A Trained GAN-TR-uEJcjig4.mp4

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16. A Trained GAN.html

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17. Doing More With Your GAN.html

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8.1 KB

img

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index.html

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4.88 KB

Part 04-Module 01-Lesson 02_Siraj's Video Generation

01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.en.vtt	VTT	18.02 KB
01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.mp4	MP4	46.79 MB
01. How to Generate Video.html	HTML	7.36 KB
index.html	HTML	3.5 KB

Part 04-Module 02-Lesson 01_Siraj's One-Shot Learning

01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.en.vtt	VTT	15.21 KB
01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.mp4	MP4	35.35 MB
01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.nl.vtt	VTT	13.52 KB
01. How to Learn from Little Data.html	HTML	5.95 KB
index.html	HTML	3.52 KB

Part 04-Module 02-Lesson 02_Hyperparameters

01. Introducing Jay.html

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02. Introduction-erwnzFD7AeE.en.vtt

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02. Introduction-erwnzFD7AeE.mp4

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02. Introduction.html

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03. Learning Rate-HLMjeDez7ps.en.vtt

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03. Learning Rate-HLMjeDez7ps.mp4

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03. Learning Rate-HLMjeDez7ps.pt-BR.vtt

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03. Learning Rate.html

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04. Learning Rate.html

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7.34 KB

05. Minibatch Size-GrrO1NFxaW8.en.vtt

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05. Minibatch Size-GrrO1NFxaW8.mp4

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4.78 MB

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05. Minibatch Size.html

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5.84 KB

06. Number Of Iterations-TTdHpSb4DV8.en.vtt

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06. Number Of Iterations-TTdHpSb4DV8.mp4

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1.46 MB

06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt

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1.53 KB

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1.5 KB

06. Number of Training Iterations Epochs.html

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8.29 KB

07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4

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3.4 MB

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07. Number of Hidden Units Layers.html

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6.49 KB

08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt

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08. RNN Hyperparameters-yQvnv7l_aUo.mp4

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4.12 MB

08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt

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08. RNN Hyperparameters-yQvnv7l_aUo.zh-CN.vtt

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3.62 KB

08. RNN Hyperparameters.html

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11.81 KB

09. RNN Hyperparameters.html

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6.55 KB

10. Sources References.html

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6.57 KB

img

f3iwvmld-400x400.jpg

JPG

26.43 KB

index.html

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4.18 KB

Part 04-Module 02-Lesson 03_Deep Convolutional GANs

01. Deep Convolutional GANs.html

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6.69 KB

02. DCGAN Architecture.html

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5.62 KB

02. Deconvolution-sX_AxtB6CHI.en.vtt

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7.21 KB

02. Deconvolution-sX_AxtB6CHI.mp4

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8.27 MB

02. Deconvolution-sX_AxtB6CHI.pt-BR.vtt

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7.01 KB

02. Deconvolution-sX_AxtB6CHI.zh-CN.vtt

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6.47 KB

03. Batch Normalization.html

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6.56 KB

04. DCGAN Implementation.html

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6.19 KB

05. DCGAN And The Generator-CH6BxLTKt7s.en.vtt

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11.03 KB

05. DCGAN And The Generator-CH6BxLTKt7s.mp4

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16.03 MB

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05. DCGAN and the Generator.html

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5.68 KB

06. Generator Solution-jyPwUEZg05Q.en.vtt

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06. Generator Solution-jyPwUEZg05Q.mp4

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7.26 MB

06. Generator Solution-jyPwUEZg05Q.pt-BR.vtt

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06. Generator Solution.html

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5.65 KB

07. Discriminator-XRqOUbf96eI.en.vtt

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3.08 KB

07. Discriminator-XRqOUbf96eI.mp4

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3.25 MB

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07. Discriminator.html

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08. Discriminator Solution-ffPWI2yJscw.en.vtt

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08. Discriminator Solution-ffPWI2yJscw.mp4

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3.87 MB

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08. Discriminator Solution.html

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5.67 KB

09. Building And Training The Network-nXKk9GI4X14.en.vtt

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6.14 KB

09. Building And Training The Network-nXKk9GI4X14.mp4

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8.08 MB

09. Building And Training The Network-nXKk9GI4X14.pt-BR.vtt

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4.63 KB

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5.13 KB

09. Building and Training the Network.html

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5.75 KB

10. Hyperparameter Solutions.html

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5.69 KB

10. Hyperparameters Solution-Rt8MlVDtpi8.en.vtt

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10. Hyperparameters Solution-Rt8MlVDtpi8.mp4

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7 MB

10. Hyperparameters Solution-Rt8MlVDtpi8.pt-BR.vtt

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3.51 KB

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img

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index.html

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4.23 KB

Part 04-Module 02-Lesson 04_Generate Faces

01. Last Project - Congrats-UUqU8SYBZ9Q.en.vtt	VTT	792 B
01. Last Project - Congrats-UUqU8SYBZ9Q.mp4	MP4	2.2 MB
01. Last Project - Congrats-UUqU8SYBZ9Q.pt-BR.vtt	VTT	850 B
01. Last Project - Congrats-UUqU8SYBZ9Q.zh-CN.vtt	VTT	764 B
01. One Project Away!.html	HTML	5.16 KB
02. P5 Intro-jvJtHYBX7sM.en.vtt	VTT	1.04 KB
02. P5 Intro-jvJtHYBX7sM.mp4	MP4	1.61 MB
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02. P5 Intro-jvJtHYBX7sM.zh-CN.vtt	VTT	1.07 KB
02. Project Introduction.html	HTML	5.09 KB
03. Face Generation Workspace.html	HTML	5.56 KB
Project Description - Generate Faces.html	HTML	5.96 KB
Project Rubric - Generate Faces.html	HTML	8.15 KB
index.html	HTML	3.83 KB

Part 04-Module 02-Lesson 05_Semi-Supervised Learning

01. Semi-supervised Learning.html

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6.93 KB

02. Semi-Supervised Classification with GANs.html

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6.03 KB

02. Semi-Supervised Learning-_LRpHPxZaX0.en.vtt

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10.16 KB

02. Semi-Supervised Learning-_LRpHPxZaX0.mp4

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10.11 MB

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9.52 KB

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9.26 KB

03. Introducing Semi-Supervised Learning-tnCClNy5z5c.en.vtt

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03. Introducing Semi-Supervised Learning-tnCClNy5z5c.mp4

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5.88 MB

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03. Introducing Semi-Supervised Learning.html

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6.08 KB

04. Data Prep-P5hOx09mwaM.en.vtt

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5.35 KB

04. Data Prep-P5hOx09mwaM.mp4

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6.15 MB

04. Data Prep-P5hOx09mwaM.pt-BR.vtt

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4.58 KB

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4.75 KB

04. Data Prep.html

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5.9 KB

05. Building The Generator And Discriminator-OWytckbbeGQ.en.vtt

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15.17 KB

05. Building The Generator And Discriminator-OWytckbbeGQ.mp4

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17.97 MB

05. Building The Generator And Discriminator-OWytckbbeGQ.pt-BR.vtt

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14.51 KB

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13.74 KB

05. Building The Generator And Discriminator.html

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6.11 KB

06. Model Loss Exercise-W7TawMNxBds.en.vtt

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12.52 KB

06. Model Loss Exercise-W7TawMNxBds.mp4

MP4

15.85 MB

06. Model Loss Exercise-W7TawMNxBds.pt-BR.vtt

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19.8 KB

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10.7 KB

06. Model Loss Exercise.html

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5.97 KB

07. Model Optimization Exercise-wNpI1wUA4Io.en.vtt

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07. Model Optimization Exercise-wNpI1wUA4Io.mp4

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12.64 MB

07. Model Optimization Exercise-wNpI1wUA4Io.pt-BR.vtt

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17.59 KB

07. Model Optimization Exercise-wNpI1wUA4Io.zh-CN.vtt

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9.23 KB

07. Model Optimization Exercise.html

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6.02 KB

08. Training The Network -P-LXQPVXl4A.en.vtt

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4.69 KB

08. Training The Network -P-LXQPVXl4A.mp4

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5.46 MB

08. Training The Network -P-LXQPVXl4A.pt-BR.vtt

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7.71 KB

08. Training The Network -P-LXQPVXl4A.zh-CN.vtt

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4.16 KB

08. Training The Network.html

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5.98 KB

09. Discriminator Solution-_X8ssUzu_Bo.en.vtt

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5.08 KB

09. Discriminator Solution-_X8ssUzu_Bo.mp4

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7.43 MB

09. Discriminator Solution-_X8ssUzu_Bo.pt-BR.vtt

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4.84 KB

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4.33 KB

09. Discriminator Solution.html

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5.99 KB

10. Model Loss Solution-r3DtohmychE.en.vtt

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6.78 KB

10. Model Loss Solution-r3DtohmychE.mp4

MP4

8.84 MB

10. Model Loss Solution-r3DtohmychE.pt-BR.vtt

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6.75 KB

10. Model Loss Solution-r3DtohmychE.zh-CN.vtt

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5.77 KB

10. Model Loss Solution.html

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5.97 KB

11. Model Optimizer Solution-_Qhz9SbR7xY.en.vtt

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3.35 KB

11. Model Optimizer Solution-_Qhz9SbR7xY.mp4

MP4

4.14 MB

11. Model Optimizer Solution-_Qhz9SbR7xY.pt-BR.vtt

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3.37 KB

11. Model Optimizer Solution-_Qhz9SbR7xY.zh-CN.vtt

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3.06 KB

11. Model Optimizer Solution.html

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6 KB

12. Trained Semi-Supervised GAN-9yWYZDX8-O8.en.vtt

VTT

5.97 KB

12. Trained Semi-Supervised GAN-9yWYZDX8-O8.mp4

MP4

7.2 MB

12. Trained Semi-Supervised GAN-9yWYZDX8-O8.pt-BR.vtt

VTT

5.67 KB

12. Trained Semi-Supervised GAN-9yWYZDX8-O8.zh-CN.vtt

VTT

5.28 KB

12. Trained Semi-Supervised GAN.html

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6.02 KB

img

mat-headshot.png

PNG

179.99 KB

index.html

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4.5 KB

Part 05-Module 01-Lesson 01_Enroll in your next Nanodegree program

01. Enroll in your next ND program.html

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7.8 KB

img

carnd.jpg

JPG

5.35 MB

index.html

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3.54 KB

Part 06-Module 01-Lesson 01_Welcome to Deep Learning

01. 01 Welcome To The Deep Learning Program-3QPEmwq2NaE.mp4

MP4

14.28 MB

01. Welcome to the Deep Learning Nanodegree Program.html

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5.36 KB

02. Meet Your Instructors--UOFRxCu414.en.vtt

VTT

1.78 KB

02. Meet Your Instructors--UOFRxCu414.mp4

MP4

5.86 MB

02. Meet Your Instructors--UOFRxCu414.pt-BR.vtt

VTT

1.95 KB

02. Meet Your Instructors--UOFRxCu414.zh-CN.vtt

VTT

1.63 KB

02. Meet Your Instructors.html

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5.64 KB

03. Learning Plan.html

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8.08 KB

04. Program Structure.html

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12.8 KB

05. Projects You Will Build.html

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6.05 KB

05. Projects You will Build-PqpdX7YxTlU.en.vtt

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2.44 KB

05. Projects You will Build-PqpdX7YxTlU.mp4

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6.15 MB

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2.23 KB

06. Deadline Policy.html

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16.3 KB

07. Udacity Support.html

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9.5 KB

08. Community Guidelines.html

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7.95 KB

09. Prerequisites.html

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6.1 KB

10. Getting Set Up.html

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5.99 KB

10. Getting-Setup-1SuxTnuQkeE.en.vtt

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10. Getting-Setup-1SuxTnuQkeE.mp4

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6.57 MB

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1.29 KB

img

convolutional-neural-networks-2.jpg	JPG	59.66 KB
examples.jpg	JPG	469.13 KB
faces.png	PNG	42.81 KB
karpathy-network.png	PNG	221.8 KB
quadcopter.png	PNG	455.67 KB
review-example.png	PNG	362.83 KB
rnn.png	PNG	155.7 KB
screen-shot-2017-01-26-at-2.51.02-pm.png	PNG	302.55 KB
screen-shot-2018-06-12-at-5.07.10-pm.png	PNG	257.46 KB
sequence-to-sequence-unrolled-encoder-decoder.png	PNG	22.5 KB
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word-embeddings.jpg	JPG	75.09 KB

index.html

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4.21 KB

Part 06-Module 01-Lesson 02_Applying Deep Learning

01. Introduction.html

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5.36 KB

02. Style Transfer.html

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12.09 KB

03. DeepTraffic.html

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en-US.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en.vtt

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03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4

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04. Flappy Bird.html

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05. Books to Read.html

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index.html

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Part 06-Module 01-Lesson 03_Anaconda

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03. What is Anaconda.html

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04. Installing Anaconda.html

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05. Managing packages.html

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06. Managing environments.html

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07. More environment actions.html

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08. Best practices.html

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09. On Python versions at Udacity.html

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Part 06-Module 01-Lesson 04_Jupyter Notebooks

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Part 06-Module 01-Lesson 05_Matrix Math and NumPy Refresher

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08. NumPy Matrix Multiplication.html

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10. Transposes in NumPy.html

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Part 07-Module 01-Lesson 01_Introduction to Neural Networks

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07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt

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32. Combinando modelos-Boy3zHVrWB4.en.vtt

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32. Layers-pg99FkXYK0M.en.vtt

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32. Layers-pg99FkXYK0M.mp4

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32. Multiclass Classification-uNTtvxwfox0.en.vtt

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32. Multiclass Classification-uNTtvxwfox0.mp4

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32. Neural Network Architecture.html

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33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt

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33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt

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33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4

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33. Feedforward.html

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34. Backpropagation V2-1SmY3TZTyUk.en.vtt

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34. Backpropagation.html

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34. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt

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34. Chain Rule-YAhIBOnbt54.en.vtt

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34. Chain Rule-YAhIBOnbt54.mp4

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34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt

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34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4

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35. Pre-Lab Analyzing Student Data.html

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36. Notebook Analyzing Student Data.html

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37. Outro.html

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img

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index.html

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Part 07-Module 01-Lesson 02_Implementing Gradient Descent

01. Mean Squared Error Function.html

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02. Gradient Descent.html

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03. Gradient Descent The Math.html

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03. Gradient Descent-Math-7sxA5Ap8AWM.mp4

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04. Gradient Descent The Code.html

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05. Implementing Gradient Descent.html

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06. Multilayer Perceptrons.html

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06. Multilayer perceptrons-Rs9petvTBLk.en-US.vtt

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07. Backpropagation-MZL97-2joxQ.en-US.vtt

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07. Backpropagation.html

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08. Implementing Backpropagation.html

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09. Further Reading.html

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img

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derivative-example.png	PNG	55.08 KB
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index.html

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Part 07-Module 01-Lesson 03_Training Neural Networks

01. Instructor.html

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02. Training Optimization-UiGKhx9pUYc.en.vtt

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02. Training Optimization.html

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03. Testing-EeBZpb-PSac.en.vtt

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03. Testing.html

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04. Overfitting and Underfitting.html

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05. Early Stopping.html

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05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt

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06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt

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06. Regularization.html

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07. Regularization 2.html

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08. Dropout-Ty6K6YiGdBs.en.vtt

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08. Dropout.html

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09. Local Minima-gF_sW_nY-xw.en.vtt

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09. Local Minima.html

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10. Random Restart-idyBBCzXiqg.en.vtt

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10. Random Restart.html

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11. Vanishing Gradient-W_JJm_5syFw.en.vtt

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11. Vanishing Gradient.html

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12. Other Activation Functions-kA-1vUt6cvQ.en.vtt

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12. Other Activation Functions.html

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13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt

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13. Batch vs Stochastic Gradient Descent.html

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14. Learning Rate Decay.html

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14. Learning Rate-TwJ8aSZoh2U.en.vtt

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14. Learning Rate-TwJ8aSZoh2U.mp4

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15. Momentum-r-rYz_PEWC8.en.vtt

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15. Momentum.html

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16. Error Functions Around the World-34AAcTECu2A.en.vtt

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16. Error Functions Around the World.html

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img

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index.html

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Part 07-Module 01-Lesson 04_Sentiment Analysis

01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt

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01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt

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01. Introducing Andrew Trask.html

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02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt

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02. Meet Andrew.html

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03. Materials.html

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04. The Notebooks.html

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05. Framing the Problem-IsTOnkAKaJw.en.vtt

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05. Framing the Problem.html

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06. Mini Project 1.html

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07. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt

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07. Mini Project 1 Solution.html

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08. Transforming Text into Numbers-7rHBU5cbePE.en.vtt

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08. Transforming Text into Numbers.html

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09. Mini Project 2.html

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10. Mini Project 2 Solution-45ihpPaeO8E.en.vtt

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10. Mini Project 2 Solution.html

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11. Building a Neural Network-aM2k7RTjjJI.en.vtt

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11. Building a Neural Network.html

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12. Mini Project 3.html

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13. Mini Project 3 Solution-imnxzCev4SI.en.vtt

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13. Mini Project 3 Solution.html

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14. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt

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14. Understanding Neural Noise.html

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15. Mini Project 4.html

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16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt

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17. Mini Project 5.html

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18. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt

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18. Mini Project 5 Solution.html

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19. Further Noise Reduction-Kl3hWxizKVg.en.vtt

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19. Further Noise Reduction-Kl3hWxizKVg.mp4

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19. Further Noise Reduction.html

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20. Mini Project 6.html

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21. Mini Project 6 Solution-ji0famK7gOQ.en.vtt

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21. Mini Project 6 Solution.html

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22. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt

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23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt

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23. Conclusion.html

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index.html

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Part 07-Module 01-Lesson 05_Keras

01. Intro.html

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02. Keras.html

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03. Pre-Lab Student Admissions in Keras.html

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04. Lab Student Admissions in Keras.html

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05. Optimizers in Keras.html

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06. Keras Lab-a50un22BsLI.en.vtt

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06. Mini Project Intro.html

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07. Pre-Lab IMDB Data in Keras.html

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08. Lab IMDB Data in Keras.html

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img

all-ranks.png	PNG	308.47 KB
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index.html

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Part 07-Module 01-Lesson 06_TensorFlow

01. Intro.html

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02. Installing TensorFlow.html

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03. Hello, Tensor World!.html

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04. Quiz TensorFlow Linear Function.html

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05. Quiz TensorFlow Softmax.html

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06. Quiz TensorFlow Cross Entropy.html

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07. Quiz Mini-batch.html

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08. Epochs.html

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09. Pre-Lab NotMNIST in TensorFlow.html

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10. Lab NotMNIST in TensorFlow.html

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11. Two-layer Neural Network.html

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12. Quiz TensorFlow ReLUs.html

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13. Deep Neural Network in TensorFlow.html

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14. Save and Restore TensorFlow Models.html

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15. Finetuning.html

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16. Quiz TensorFlow Dropout.html

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17. Conclusion-wOiUQDgGD9E.en.vtt

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17. Conclusion-wOiUQDgGD9E.mp4

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17. Conclusion-wOiUQDgGD9E.zh-CN.vtt

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17. Outro.html

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img

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Part 08-Module 01-Lesson 01_Cloud Computing

01. Overview.html

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02. Create an AWS Account.html

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03. Get Access to GPU Instances.html

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04. Apply Credits.html

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05. Launch an Instance.html

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06. Login to the Instance.html

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07. More Resources.html

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Part 08-Module 01-Lesson 02_CNNs in TensorFlow

01. Convolutional Layers.html

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02. Quiz Convolutional Layers.html

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03. Solution Convolutional Layers.html

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04. Max Pooling Layers.html

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05. Quiz Max Pooling Layers.html

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06. Solution Max Pooling Layers.html

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07. CNNs in TensorFlow.html

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08. CNNs - Additional Resources.html

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img

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Part 08-Module 01-Lesson 03_Weight Initialization

01. Weight Initialization Intro.html

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02. Ones and Zeros.html

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04. Too Small.html

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05. Normal Distribution.html

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06. Additional Material.html

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Part 08-Module 01-Lesson 04_Convolutional Neural Networks

01. Introducing Alexis-38ExGpdyvJI.en.vtt

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01. Introducing Alexis.html

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02. Applications of CNNs-HrYNL_1SV2Y.en.vtt

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02. Applications of CNNs.html

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03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt

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03. How Computers Interpret Images.html

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04. MLPs For Image Classification-TIFStebu530.en.vtt

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05. Categorical Cross-Entropy-3sDYifgjFck.en.vtt

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06. Model Validation in Keras-002jNXSM6CU.en.vtt

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07. When do MLPs (not) work well .html

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08. Mini Project Training an MLP on MNIST.html

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09. Local Connectivity-z9wiDg0w-Dc.en.vtt

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10. Convolutional Layers (Part 1).html

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11. Convolutional Layers (Part 2).html

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12. Stride and Padding-0r9o8hprDXQ.en.vtt

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12. Stride and Padding.html

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13. Convolutional Layers in Keras.html

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14. Quiz Dimensionality.html

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15. Pooling Layers-OkkIZNs7Cyc.en.vtt

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15. Pooling Layers.html

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16. Max Pooling Layers in Keras.html

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17. CNNs For Image Classification-l9vg_1YUlzg.en.vtt

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17. CNNs for Image Classification.html

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18. CNNs in Keras Practical Example-faFvmGDwXX0.en.vtt

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18. CNNs in Keras Practical Example.html

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19. Mini Project CNNs in Keras.html

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20. Image Augmentation in Keras-odStujZq3GY.en.vtt

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21. Mini Project Image Augmentation in Keras.html

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22. Groundbreaking CNN Architectures-ddrB-mhMfkY.en.vtt

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22. Groundbreaking CNN Architectures.html

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23. Visualizing CNNs (Part 1).html

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24. Visualizing CNNs (Part 2).html

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25. Transfer Learning-LHG5FltaR6I.en.vtt

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25. Transfer Learning.html

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26. Transfer Learning in Keras-HsIAznMM1LA.en.vtt

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Part 08-Module 01-Lesson 05_Autoencoders

01. Autoencoder Lesson Intro.html

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02. Autoencoders.html

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03. A Simple Autoencoder.html

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05. Convolutional Autoencoders-18SZVRaumGs.en.vtt

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Part 08-Module 01-Lesson 06_Transfer Learning in TensorFlow

01. Transfer Learning Intro.html

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02. Transfer Learning with VGGNet.html

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07. Classifier.html

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Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun

01. Intro.html

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03. Survival Probability of Skin Cancer.html

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03. Survival Rate-QPlp3NeGuSk.zh-CN.vtt

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04. Medical Classification-RCOSP60dV7U.en.vtt

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04. Medical Classification-RCOSP60dV7U.mp4

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04. Medical Classification.html

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05. The Data-2RLbbV7MQNA.en.vtt

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05. The Data-2RLbbV7MQNA.mp4

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05. The data.html

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06. 06 Image Challenge V3-Efnoj1KNPHw.en.vtt

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06. Image Challenges.html

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07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt

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07. Quiz Data Challenges.html

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08. Solution Data Challenges-1z3o4niQuNg.en.vtt

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09. Training The Neural Network-HwiI-UXUx-M.en.vtt

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09. Training the Neural Network.html

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10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt

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10. Quiz Random vs Pre-initialized Weights.html

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11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.en.vtt

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11. Solution Random vs Pre-initialized Weight.html

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12. Validating The Training-Oxm9ofvov3I.en.vtt

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12. Validating the Training.html

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13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt

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13. Quiz Sensitivity and Specificity.html

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14. Solution Sensitivity and Specificity.html

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15. More on Sensitivity and Specificity.html

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16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt

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16. Quiz Diagnosing Cancer.html

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17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt

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17. Solution Diagnosing Cancer.html

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18. Images-1GdiN5Wc8LA.mp4

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18. ROC Curve-2Iw5TiGzJI4.en.vtt

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18. Refresh on ROC Curves.html

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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt

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19. Quiz ROC Curve.html

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20. Solution ROC Curve-sdUUf6RRmXI.en.vtt

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20. Solution ROC Curve.html

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21. Comparing our Results with Doctors.html

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21. ROC Curve-fWwe_JlpnlQ.en.vtt

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22. Visualization-aGIGB4Ta3_A.en.vtt

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22. Visualization.html

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23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt

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23. What is the network looking at.html

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24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt

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24. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt

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24. Refresh on Confusion Matrices.html

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25. Confusion Matrix-3rpN-YYlfes.en.vtt

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25. Confusion Matrix-3rpN-YYlfes.mp4

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25. Confusion Matrix.html

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26. Conclusion-WhpE_8sTt-0.en.vtt

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26. Conclusion.html

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27. Useful Resources.html

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28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt

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28. Mini Project Introduction-Rgf3YVFWl-M.mp4

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28. Mini Project Introduction.html

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29. Mini Project Dermatologist AI.html

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img

cat-1.jpeg	JPEG	230.78 KB
cat-2.jpeg	JPEG	231.25 KB
cat-3.png	PNG	575.91 KB
confusion-matrix.png	PNG	310.94 KB
lesions.png	PNG	1.57 MB
nature.png	PNG	893.03 KB
new-confusion-matrix.png	PNG	186.16 KB
precision-recall.png	PNG	156.71 KB
roc-curve.png	PNG	31.48 KB
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roc.png	PNG	78.96 KB
sample-confusion-matrix.png	PNG	130.52 KB
sample-roc-curve.png	PNG	46.33 KB
sensitivity-specificity.png	PNG	155.14 KB
skin-disease-classes.png	PNG	1.64 MB
threshold.png	PNG	468.31 KB

index.html

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media

monkey-doctor.png

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Part 08-Module 02-Lesson 01_CNN Project Dog Breed Classifier

	01. Project Description.html	HTML	6.44 KB
	index.html	HTML	3.51 KB

Part 09-Module 01-Lesson 01_Recurrent Neural Networks

01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.en.vtt

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01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp4

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01. Introducing Ortal .html

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02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt

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02. RNN Introduction.html

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03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt

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03. RNN History.html

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04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt

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04. RNN Applications.html

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05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt

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05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4

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05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt

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05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4

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05. Feedforward Neural Network-Reminder.html

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06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt

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06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt

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06. The Feedforward Process.html

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07. Feedforward Quiz.html

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08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt

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08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4

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08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt

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08. Backpropagation- Theory.html

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09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt

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09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4

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09. Backpropagation - Example (part a).html

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09. Regra da cadeia-YAhIBOnbt54.en.vtt

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10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt

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10. Backpropagation- Example (part b).html

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11. Backpropagation Quiz.html

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12. RNN (part a).html

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12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt

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13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt

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13. RNN (part b).html

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14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt

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14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4

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14. RNN- Unfolded Model.html

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15. Unfolded Model Quiz.html

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16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt

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16. RNN- Example.html

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17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt

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17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4

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17. Backpropagation Through Time (part a).html

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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt

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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4

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18. Backpropagation Through Time (part b).html

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19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt

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19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4

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19. Backpropagation Through Time (part c).html

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20. BPTT Quiz 1.html

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21. BPTT Quiz 2.html

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22. BPTT Quiz 3.html

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23. Some more math.html

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24. RNN Summary-nXP0oGGRrO8.en.vtt

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24. RNN Summary-nXP0oGGRrO8.mp4

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24. RNN Summary-nXP0oGGRrO8.pt-BR.vtt

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24. RNN Summary-nXP0oGGRrO8.zh-CN.vtt

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24. RNN Summary.html

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25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt

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25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4

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25. From RNN to LSTM.html

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26. Wrap Up.html

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img

screen-shot-2017-10-11-at-2.04.14-pm.png	PNG	1.1 MB
screen-shot-2017-10-27-at-1.29.13-pm.png	PNG	2.45 MB
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index.html

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Part 09-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)

01. Intro to LSTM.html

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02. RNN Vs LSTM-70MgF-IwAr8.en.vtt

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02. RNN Vs LSTM-70MgF-IwAr8.mp4

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02. RNN vs LSTM.html

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03. Basics of LSTM.html

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03. LSTM Basics-gjb68a4XsqE.mp4

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04. Architecture of LSTM.html

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04. LSTM Architecture-ycwthhdx8ws.en.vtt

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04. LSTM Architecture-ycwthhdx8ws.mp4

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05. Learn Gate-aVHVI7ovbHY.en.vtt

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05. Learn Gate-aVHVI7ovbHY.mp4

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05. The Learn Gate.html

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06. Forget Gate-iWxpfxLUPSU.en.vtt

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06. The Forget Gate.html

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07. Remember Gate-0qlm86HaXuU.en.vtt

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07. Remember Gate-0qlm86HaXuU.mp4

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07. The Remember Gate.html

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08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt

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08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4

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08. The Use Gate.html

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09. Putting It All Together-IF8FlKW-Zo0.en.vtt

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09. Putting it All Together.html

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10. Quiz.html

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11. Other Architectures-MsxFDuYlTuQ.en.vtt

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11. Other Architectures-MsxFDuYlTuQ.mp4

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11. Other architectures.html

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12. Outro LSTM.html

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img

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index.html

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Part 09-Module 01-Lesson 03_Implementation of RNN and LSTM

01. Intro.html

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02. Character-Wise RNN-dXl3eWCGLdU.en.vtt

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02. Character-Wise RNN-dXl3eWCGLdU.mp4

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02. Character-wise RNNs.html

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03. Sequence Batching.html

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03. Sequence-Batching-Z4OiyU0Cldg.en.vtt

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03. Sequence-Batching-Z4OiyU0Cldg.mp4

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04. Character-wise RNN Notebook.html

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05. Implementing a Character-wise RNN-KPCMn_jg2oY.en.vtt

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05. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4

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05. Implementing a Character-wise RNN.html

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06. Batching Data Solution-o3nBxHJLQcc.en.vtt

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06. Batching Data Solution.html

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07. LSTM Cell-ajC-5uWB8S4.en.vtt

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07. LSTM Cell.html

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08. LSTM Cell Solution-X4uA0dq_4jA.en.vtt

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08. LSTM Cell Solution.html

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09. RNN Output-RkanDkcrTxs.en.vtt

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09. RNN Output.html

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10. Network Loss-itu-uNK4brc.en.vtt

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10. Network Loss-itu-uNK4brc.mp4

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10. Network Loss.html

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11. Output And Loss Solutions-CT8hcU7FmGc.en.vtt

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11. Output And Loss Solutions-CT8hcU7FmGc.mp4

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11. Output and Loss Solutions.html

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12. Build The Network-RVNjDlWTBQU.en.vtt

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12. Build The Network-RVNjDlWTBQU.mp4

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12. Build the Network.html

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13. Build The Network And Results-hu8iMMqajmQ.en.vtt

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13. Build The Network And Results-hu8iMMqajmQ.mp4

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13. Build the Network Solution.html

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img

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index.html

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Part 09-Module 01-Lesson 04_Hyperparameters

01. Introducing Jay.html

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02. Introduction-erwnzFD7AeE.en.vtt

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02. Introduction-erwnzFD7AeE.mp4

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02. Introduction.html

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03. Learning Rate-HLMjeDez7ps.en.vtt

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03. Learning Rate-HLMjeDez7ps.mp4

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03. Learning Rate.html

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04. Learning Rate.html

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05. Minibatch Size-GrrO1NFxaW8.en.vtt

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05. Minibatch Size.html

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06. Number Of Iterations-TTdHpSb4DV8.en.vtt

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06. Number of Training Iterations Epochs.html

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt

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07. Number of Hidden Units Layers.html

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08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt

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08. RNN Hyperparameters.html

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09. RNN Hyperparameters.html

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10. Sources References.html

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img

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index.html

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Part 09-Module 01-Lesson 05_Embeddings and Word2vec

01. Embeddings Intro.html

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02. Implementing Word2Vec-7M431_f9HgE.en.vtt

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02. Implementing Word2Vec-7M431_f9HgE.mp4

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02. Implementing Word2Vec.html

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03. Subsampling Solution-MAUM_mV_lj8.en.vtt

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03. Subsampling Solution.html

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04. Making Batches-jx7qwdw-94k.en.vtt

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04. Making Batches.html

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05. Batches Solution-DdfR0RjSC-Q.en.vtt

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05. Batches Solution.html

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06. Building The Network-fhSb5c6UX6M.en.vtt

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06. Building the Network.html

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07. Negative Sampling-gW17AHBKbHY.en.vtt

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08. Building The Network Solution-pkBAhQ2Ki-8.en.vtt

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09. Training Results-uISA5ns47s8.en.vtt

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img

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index.html

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Part 09-Module 01-Lesson 06_Sentiment Prediction RNN

01. Intro.html

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02. Sentiment Prediction-uGN3rZJRiMY.en.vtt

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02. Sentiment Prediction-uGN3rZJRiMY.mp4

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03. Data Preprocessing-h4-LwZU9_k8.en.vtt

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04. Creating Testing Sets-BRBbrNLz1ho.en.vtt

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05. Building The RNN 1-XTD6slf64fM.en.vtt

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06. Training The Network-nknJ3Xu3ld0.en.vtt

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07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt

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07. Solutions.html

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Part 10-Module 01-Lesson 01_Generative Adversarial Networks

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01. Introducing Ian Goodfellow.html

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02. Cool Things To Do With GANs-bo-ToTdhgew.en.vtt

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02. What can you do with GANs.html

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03. How GANs work.html

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03. Other Generative Models, How GANs Work-MF0QCP1OC9I.en.vtt

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04. Games and Equilibria.html

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04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.en.vtt

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05. GANs Architecture -gaEs7ccZv_Q.en.vtt

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05. Practical tips and tricks for training GANs.html

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06. Build a GAN.html

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08. Generator Network-btHVXnICmzQ.en.vtt

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09. Discriminator Network-nWXxT8OqCfs.en.vtt

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11. Building the Network-5sZkRSHfiAE.en.vtt

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13. Training Losses-IaAeDrXMEcU.en.vtt

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15. Training Losses and Optimizers Solution.html

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16. A Trained GAN-TR-uEJcjig4.en.vtt

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17. Doing More With Your GAN.html

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Part 10-Module 01-Lesson 02_Deep Convolutional GANs

01. Deep Convolutional GANs.html

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02. DCGAN Architecture.html

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03. Batch Normalization.html

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04. DCGAN Implementation.html

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05. DCGAN and the Generator.html

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06. Generator Solution-jyPwUEZg05Q.en.vtt

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07. Discriminator-XRqOUbf96eI.en.vtt

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08. Discriminator Solution-ffPWI2yJscw.en.vtt

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09. Building And Training The Network-nXKk9GI4X14.en.vtt

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10. Hyperparameter Solutions.html

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Part 10-Module 01-Lesson 03_Semi-Supervised Learning

01. Semi-supervised Learning.html

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02. Semi-Supervised Classification with GANs.html

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03. Introducing Semi-Supervised Learning-tnCClNy5z5c.en.vtt

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04. Data Prep-P5hOx09mwaM.en.vtt

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05. Building The Generator And Discriminator-OWytckbbeGQ.en.vtt

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06. Model Loss Exercise-W7TawMNxBds.en.vtt

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07. Model Optimization Exercise-wNpI1wUA4Io.en.vtt

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08. Training The Network -P-LXQPVXl4A.en.vtt

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09. Discriminator Solution-_X8ssUzu_Bo.en.vtt

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10. Model Loss Solution-r3DtohmychE.en.vtt

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11. Model Optimizer Solution-_Qhz9SbR7xY.en.vtt

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12. Trained Semi-Supervised GAN-9yWYZDX8-O8.en.vtt

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Part 11-Module 01-Lesson 01_Introduction to RL

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02. Applications-CV6B84mKRNM.en.vtt

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03. The Setting-nh8Gwdu19nc.en.vtt

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04. OpenAI Gym-MktEOWp3QLg.en.vtt

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Part 11-Module 01-Lesson 02_The RL Framework The Problem

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03. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt

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06. The Reward Hypothesis-uAqNwgZ49JE.en.vtt

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07. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt

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10. Cumulative Reward-ysriH65lV9o.mp4

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10. Cumulative Reward.html

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11. Discounted Return-opXGNPwwn7g.en.vtt

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11. Discounted Return-opXGNPwwn7g.mp4

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11. Discounted Return.html

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12. Quiz Pole-Balancing.html

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13. MDPs, Part 1-NBWbluSbxPg.en.vtt

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13. MDPs, Part 1-NBWbluSbxPg.mp4

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13. MDPs, Part 1.html

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14. MDPs, Part 2-CUTtQvxKkNw.en.vtt

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14. MDPs, Part 2.html

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15. Quiz One-Step Dynamics, Part 1.html

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16. Quiz One-Step Dynamics, Part 2.html

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17. MDPs, Part 3-UlXHFbla3QI.en.vtt

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17. MDPs, Part 3.html

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18. Finite MDPs.html

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19. Summary.html

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img

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Part 11-Module 01-Lesson 03_The RL Framework The Solution

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01. Introduction.html

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02. Policies-hc3LrvaC13U.en.vtt

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02. Policies.html

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03. Quiz Interpret the Policy.html

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04. Gridworld Example-XeHBmPFqTsE.en.vtt

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04. Gridworld Example.html

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05. State-Value Functions-llakAjwox_8.en.vtt

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05. State-Value Functions.html

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06. Bellman Equations-UgIaDMvSdUo.en.vtt

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06. Bellman Equations.html

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07. Quiz State-Value Functions.html

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08. Optimality-j231aRV74QM.en.vtt

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08. Optimality.html

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09. Action-Value Functions-KJLaRfOOPGA.en.vtt

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10. Quiz Action-Value Functions.html

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11. Optimal Policies-2rguYpVyCto.en.vtt

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11. Optimal Policies.html

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12. Quiz Optimal Policies.html

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13. Summary.html

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img

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Part 11-Module 01-Lesson 04_Dynamic Programming

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01. Introduction-ek2PD9RDrWw.zh-CN.vtt

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01. Introduction.html

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02. OpenAI Gym FrozenLakeEnv.html

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03. Your Workspace.html

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04. Another Gridworld Example-n9SbomnLb-U.en.vtt

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04. Another Gridworld Example.html

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05. An Iterative Method, Part 1.html

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06. An Iterative Method, Part 2.html

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07. Quiz An Iterative Method.html

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08. Iterative Policy Evaluation-eDXIL_oOJHI.en.vtt

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08. Iterative Policy Evaluation.html

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09. Implementation.html

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10. Mini Project DP (Parts 0 and 1).html

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11. Action Values.html

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12. Implementation.html

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13. Mini Project DP (Part 2).html

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14. Policy Improvement-4_adUEK0IHg.en.vtt

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14. Policy Improvement.html

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15. Implementation.html

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16. Mini Project DP (Part 3).html

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17. Policy Iteration-gqv7o1kBDc0.en.vtt

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17. Policy Iteration.html

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18. Implementation.html

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19. Mini Project DP (Part 4).html

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20. Truncated Policy Iteration-a-RvCxlPMho.en.vtt

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20. Truncated Policy Iteration.html

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21. Implementation.html

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22. Mini Project DP (Part 5).html

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23. Value Iteration-XNeQn8N36y8.en.vtt

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23. Value Iteration.html

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24. Implementation.html

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25. Mini Project DP (Part 6).html

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26. Check Your Understanding.html

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27. Summary.html

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img

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Part 11-Module 01-Lesson 05_Monte Carlo Methods

01. Introduction-W2EP3riQSus.en.vtt

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01. Introduction.html

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02. OpenAI Gym BlackjackEnv.html

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03. MC Prediction State Values-0q2wSWyuBj8.en.vtt

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04. Implementation.html

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05. Mini Project MC (Parts 0 and 1).html

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06. MC Prediction Action Values-08tLtbh0xLs.en.vtt

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07. Implementation.html

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08. Mini Project MC (Part 2).html

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09. Generalized Policy Iteration-XRmz4nolEsw.en.vtt

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10. MC Control Incremental Mean-E2RITH-2NUE.en.vtt

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10. MC Control Incremental Mean.html

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11. Quiz Incremental Mean.html

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12. MC Control Policy Evaluation-3_opwMzpEEI.en.vtt

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13. MC Control Policy Improvement-2RKH-BInX7s.en.vtt

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13. MC Control Policy Improvement.html

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14. Quiz Epsilon-Greedy Policies.html

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15. Exploration vs. Exploitation.html

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16. Implementation.html

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17. Mini Project MC (Part 3).html

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18. MC Control Constant-alpha, Part 1.html

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18. MC Control Constant-alpha-QFV1nI9Zpoo.en.vtt

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19. MC Control Constant-alpha, Part 2.html

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20. Implementation.html

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21. Mini Project MC (Part 4).html

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22. Summary.html

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img

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Part 11-Module 01-Lesson 06_Temporal-Difference Methods

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01. Introduction.html

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02. OpenAI Gym CliffWalkingEnv.html

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03. TD Prediction TD(0)-CsD6b0csU7o.en.vtt

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03. TD Prediction TD(0).html

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04. Implementation.html

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05. Mini Project TD (Parts 0 and 1).html

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06. TD Prediction Action Values-1c029-7_9GA.en.vtt

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07. TD Control Sarsa(0)-LkFkjfsRpXc.en.vtt

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07. TD Control Sarsa(0).html

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08. Implementation.html

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09. Mini Project TD (Part 2).html

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10. TD Control Sarsamax-4DxoYuR7aZ4.en.vtt

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10. TD Control Sarsamax.html

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11. Implementation.html

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12. Mini Project TD (Part 3).html

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13. TD Control Expected Sarsa-kEKupCyU0P0.en.vtt

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13. TD Control Expected Sarsa.html

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14. Implementation.html

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15. Mini Project TD (Part 4).html

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16. Analyzing Performance.html

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17. Summary.html

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img

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Part 11-Module 01-Lesson 07_Solve OpenAI Gym's Taxi-v2 Task

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02. Instructions.html

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03. Mini Project.html

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img

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Part 11-Module 01-Lesson 08_RL in Continuous Spaces

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02. Resources.html

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03. Discrete vs. Continuous Spaces-uHstLeRzaE8.en.vtt

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04. Quiz Space Representations.html

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05. Discretization-j2eZyUpy--E.en.vtt

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05. Discretization-j2eZyUpy--E.pt-BR.vtt

VTT

5.13 KB

05. Discretization-j2eZyUpy--E.zh-CN.vtt

VTT

4.06 KB

05. Discretization.html

HTML

6.01 KB

06. Exercise Discretization.html

HTML

6.33 KB

07. Tile Coding-BRs7AnTZ_8k.en.vtt

VTT

3.76 KB

07. Tile Coding-BRs7AnTZ_8k.mp4

MP4

11.03 MB

07. Tile Coding-BRs7AnTZ_8k.pt-BR.vtt

VTT

4.2 KB

07. Tile Coding-BRs7AnTZ_8k.zh-CN.vtt

VTT

3.34 KB

07. Tile Coding.html

HTML

5.99 KB

08. Exercise Tile Coding.html

HTML

6.31 KB

09. Coarse Coding-Uu1J5KLAfTU.en.vtt

VTT

3.07 KB

09. Coarse Coding-Uu1J5KLAfTU.mp4

MP4

10.3 MB

09. Coarse Coding-Uu1J5KLAfTU.pt-BR.vtt

VTT

3.41 KB

09. Coarse Coding-Uu1J5KLAfTU.zh-CN.vtt

VTT

2.74 KB

09. Coarse Coding.html

HTML

6 KB

10. Function Approximation-UTGWVY6jEdg.en.vtt

VTT

4.11 KB

10. Function Approximation-UTGWVY6jEdg.mp4

MP4

20.08 MB

10. Function Approximation-UTGWVY6jEdg.pt-BR.vtt

VTT

4.59 KB

10. Function Approximation-UTGWVY6jEdg.zh-CN.vtt

VTT

3.65 KB

10. Function Approximation.html

HTML

7.34 KB

11. Linear Function Approximation-OJ5wrB7o-pI.en.vtt

VTT

6.91 KB

11. Linear Function Approximation-OJ5wrB7o-pI.mp4

MP4

28.67 MB

11. Linear Function Approximation-OJ5wrB7o-pI.pt-BR.vtt

VTT

7.81 KB

11. Linear Function Approximation-OJ5wrB7o-pI.zh-CN.vtt

VTT

5.81 KB

11. Linear Function Approximation.html

HTML

6.11 KB

12. Kernel Functions-RdkPVYyVOvU.en.vtt

VTT

2.94 KB

12. Kernel Functions-RdkPVYyVOvU.mp4

MP4

8.91 MB

12. Kernel Functions-RdkPVYyVOvU.pt-BR.vtt

VTT

3.16 KB

12. Kernel Functions-RdkPVYyVOvU.zh-CN.vtt

VTT

2.49 KB

12. Kernel Functions.html

HTML

6.03 KB

13. Non-Linear Function Approximation-rITnmpD2mN8.en.vtt

VTT

1.56 KB

13. Non-Linear Function Approximation-rITnmpD2mN8.mp4

MP4

4.95 MB

13. Non-Linear Function Approximation-rITnmpD2mN8.pt-BR.vtt

VTT

1.8 KB

13. Non-Linear Function Approximation-rITnmpD2mN8.zh-CN.vtt

VTT

1.3 KB

13. Non-Linear Function Approximation.html

HTML

6.14 KB

14. Summary-MTEBk43oByU.en.vtt

VTT

1.61 KB

14. Summary-MTEBk43oByU.mp4

MP4

9.91 MB

14. Summary-MTEBk43oByU.pt-BR.vtt

VTT

1.87 KB

14. Summary-MTEBk43oByU.zh-CN.vtt

VTT

1.37 KB

14. Summary.html

HTML

5.96 KB

img

poker-hand-3-of-a-kind.png

PNG

128.64 KB

index.html

HTML

4.53 KB

Part 11-Module 01-Lesson 09_Deep Q-Learning

01. Intro to Deep Q-Learning-o3cmuUDhP3I.en.vtt

VTT

1.44 KB

01. Intro to Deep Q-Learning-o3cmuUDhP3I.mp4

MP4

9.08 MB

01. Intro to Deep Q-Learning-o3cmuUDhP3I.pt-BR.vtt

VTT

1.67 KB

01. Intro to Deep Q-Learning-o3cmuUDhP3I.zh-CN.vtt

VTT

1.27 KB

01. Intro to Deep Q-Learning.html

HTML

5.96 KB

02. Neural Nets as Value Functions-cBi7vLrk8QQ.en.vtt

VTT

3.73 KB

02. Neural Nets as Value Functions-cBi7vLrk8QQ.mp4

MP4

12.65 MB

02. Neural Nets as Value Functions-cBi7vLrk8QQ.pt-BR.vtt

VTT

3.93 KB

02. Neural Nets as Value Functions-cBi7vLrk8QQ.zh-CN.vtt

VTT

3.22 KB

02. Neural Nets as Value Functions.html

HTML

6 KB

03. Monte Carlo Learning-qOviWYwcvsg.en.vtt

VTT

2.84 KB

03. Monte Carlo Learning-qOviWYwcvsg.mp4

MP4

10.41 MB

03. Monte Carlo Learning-qOviWYwcvsg.pt-BR.vtt

VTT

3.13 KB

03. Monte Carlo Learning-qOviWYwcvsg.zh-CN.vtt

VTT

2.5 KB

03. Monte Carlo Learning.html

HTML

6.2 KB

04. Temporal Difference Learning-lpmDi0QeUm8.en.vtt

VTT

4.12 KB

04. Temporal Difference Learning-lpmDi0QeUm8.mp4

MP4

16.98 MB

04. Temporal Difference Learning-lpmDi0QeUm8.pt-BR.vtt

VTT

4.47 KB

04. Temporal Difference Learning-lpmDi0QeUm8.zh-CN.vtt

VTT

3.6 KB

04. Temporal Difference Learning.html

HTML

5.99 KB

05. Q-Learning-AI5gLgYMSq8.en.vtt

VTT

5.27 KB

05. Q-Learning-AI5gLgYMSq8.mp4

MP4

17.31 MB

05. Q-Learning-AI5gLgYMSq8.pt-BR.vtt

VTT

5.81 KB

05. Q-Learning-AI5gLgYMSq8.zh-CN.vtt

VTT

4.65 KB

05. Q-Learning.html

HTML

6.16 KB

06. Deep Q Network-GgtR_d1OB-M.en.vtt

VTT

5.85 KB

06. Deep Q Network-GgtR_d1OB-M.mp4

MP4

25.67 MB

06. Deep Q Network-GgtR_d1OB-M.pt-BR.vtt

VTT

6.34 KB

06. Deep Q Network-GgtR_d1OB-M.zh-CN.vtt

VTT

5.25 KB

06. Deep Q Network.html

HTML

6.21 KB

07. Experience Replay-wX_-SZG-YMQ.en.vtt

VTT

9.51 KB

07. Experience Replay-wX_-SZG-YMQ.mp4

MP4

48.38 MB

07. Experience Replay-wX_-SZG-YMQ.pt-BR.vtt

VTT

11.32 KB

07. Experience Replay-wX_-SZG-YMQ.zh-CN.vtt

VTT

8.25 KB

07. Experience Replay.html

HTML

6.24 KB

08. Fixed Q Targets-SWpyiEezfp4.en.vtt

VTT

5.42 KB

08. Fixed Q Targets-SWpyiEezfp4.mp4

MP4

20.97 MB

08. Fixed Q Targets-SWpyiEezfp4.pt-BR.vtt

VTT

5.93 KB

08. Fixed Q Targets-SWpyiEezfp4.zh-CN.vtt

VTT

4.77 KB

08. Fixed Q Targets.html

HTML

6.14 KB

09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.en.vtt

VTT

4.48 KB

09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp4

MP4

17.45 MB

09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.pt-BR.vtt

VTT

5.35 KB

09. Deep Q-Learning Algorithm-MqTXoCxQ_eY.zh-CN.vtt

VTT

3.84 KB

09. Deep Q-Learning Algorithm.html

HTML

6.5 KB

10. DQN Improvements-Zfdbp93A2GU.en.vtt

VTT

12.13 KB

10. DQN Improvements-Zfdbp93A2GU.mp4

MP4

39.4 MB

10. DQN Improvements-Zfdbp93A2GU.pt-BR.vtt

VTT

14.18 KB

10. DQN Improvements-Zfdbp93A2GU.zh-CN.vtt

VTT

10.72 KB

10. DQN Improvements.html

HTML

6.84 KB

11. Implementing Deep Q-Learning.html

HTML

6.92 KB

12. TensorFlow Implementation.html

HTML

6.34 KB

13. Wrap Up-x6JggcDTcys.en.vtt

VTT

1.22 KB

13. Wrap Up-x6JggcDTcys.mp4

MP4

7.2 MB

13. Wrap Up-x6JggcDTcys.pt-BR.vtt

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1.49 KB

13. Wrap Up-x6JggcDTcys.zh-CN.vtt

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1.1 KB

13. Wrap Up.html

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5.85 KB

img

	atari-network.png	PNG	309.97 KB
	enable-gpu.png	PNG	73.47 KB

index.html

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4.43 KB

Part 11-Module 01-Lesson 10_Policy-Based Methods

01. M2L3 01 V1-YOSREyp04HA.en.vtt	VTT	856 B
01. M2L3 01 V1-YOSREyp04HA.mp4	MP4	4.98 MB
01. M2L3 01 V1-YOSREyp04HA.zh-CN.vtt	VTT	787 B
01. Policy-Based Methods.html	HTML	5.29 KB
02. M2L3 02 V2-ToS8vXGdODE.en.vtt	VTT	9.07 KB
02. M2L3 02 V2-ToS8vXGdODE.mp4	MP4	32.51 MB
02. M2L3 02 V2-ToS8vXGdODE.zh-CN.vtt	VTT	8.11 KB
02. Why Policy-Based Methods.html	HTML	5.3 KB
03. M2L3 03 V2-TePX-0Bs23E.en.vtt	VTT	5.99 KB
03. M2L3 03 V2-TePX-0Bs23E.mp4	MP4	18.85 MB
03. M2L3 03 V2-TePX-0Bs23E.zh-CN.vtt	VTT	5.24 KB
03. Policy Function Approximation.html	HTML	5.31 KB
04. M2L3 04 V1-QicxmyE5vTo.en.vtt	VTT	5.35 KB
04. M2L3 04 V1-QicxmyE5vTo.mp4	MP4	21.03 MB
04. M2L3 04 V1-QicxmyE5vTo.zh-CN.vtt	VTT	4.62 KB
04. Stochastic Policy Search.html	HTML	5.3 KB
05. M2L3 05 V1-eZxxNNIZuwA.en.vtt	VTT	7.33 KB
05. M2L3 05 V1-eZxxNNIZuwA.mp4	MP4	16.64 MB
05. M2L3 05 V1-eZxxNNIZuwA.zh-CN.vtt	VTT	6.27 KB
05. Policy Gradients.html	HTML	5.28 KB
06. M2L3 06 V1-RMjdQkl6CqE.en.vtt	VTT	910 B
06. M2L3 06 V1-RMjdQkl6CqE.mp4	MP4	3.01 MB
06. M2L3 06 V1-RMjdQkl6CqE.zh-CN.vtt	VTT	804 B
06. Monte Carlo Policy Gradients.html	HTML	5.31 KB
07. Constrained Policy Gradients.html	HTML	5.31 KB
07. M2L3 07 V2-ZBLLGIN1EfU.en.vtt	VTT	9.11 KB
07. M2L3 07 V2-ZBLLGIN1EfU.mp4	MP4	43.55 MB
07. M2L3 07 V2-ZBLLGIN1EfU.zh-CN.vtt	VTT	7.88 KB
08. M2L3 08 V1-og3W6CXn1F0.en.vtt	VTT	1.36 KB
08. M2L3 08 V1-og3W6CXn1F0.mp4	MP4	7.63 MB
08. M2L3 08 V1-og3W6CXn1F0.zh-CN.vtt	VTT	1.24 KB
08. Recap.html	HTML	5.26 KB
index.html	HTML	4.07 KB

Part 11-Module 01-Lesson 11_Actor-Critic Methods

01. Actor-Critic Methods.html	HTML	5.45 KB
01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.en.vtt	VTT	1.54 KB
01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.mp4	MP4	10.38 MB
01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.pt-BR.vtt	VTT	1.78 KB
01. RL M2L4 01 Actor Critic Methods RENDER V1 V1-FXhyxJzgt8U.zh-CN.vtt	VTT	1.36 KB
02. A Better Score Function.html	HTML	5.42 KB
02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.en.vtt	VTT	2.64 KB
02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.mp4	MP4	8.68 MB
02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.pt-BR.vtt	VTT	3.09 KB
02. RL M2L4 02 A Better Score Function V2-_HBJ3l10-OE.zh-CN.vtt	VTT	2.34 KB
03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.en.vtt	VTT	1.68 KB
03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.mp4	MP4	6.13 MB
03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.pt-BR.vtt	VTT	1.93 KB
03. RL M2L4 03 Two Function Approximators V1-37KQEgLaLfw.zh-CN.vtt	VTT	1.45 KB
03. Two Function Approximators.html	HTML	5.44 KB
04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.en.vtt	VTT	2.72 KB
04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.mp4	MP4	10.01 MB
04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.pt-BR.vtt	VTT	3.03 KB
04. RL M2L4 04 The Actor And The Critic V1-bvbE9F7urd4.zh-CN.vtt	VTT	2.41 KB
04. The Actor and The Critic.html	HTML	5.43 KB
05. Advantage Function.html	HTML	5.44 KB
05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.en.vtt	VTT	3.9 KB
05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.mp4	MP4	10.72 MB
05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.pt-BR.vtt	VTT	4.27 KB
05. RL M2L4 05 Advantage Function RENDER V1 V2-vpLmzKqcgfc.zh-CN.vtt	VTT	3.3 KB
06. Actor-Critic with Advantage.html	HTML	5.5 KB
06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.en.vtt	VTT	1 KB
06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.mp4	MP4	3.09 MB
06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.pt-BR.vtt	VTT	1.18 KB
06. RL M2L4 06 Actor Critic With Advantage RENDER V1 V1-Bwd2OF7hJXQ.zh-CN.vtt	VTT	891 B
07. Summary-hvYQ_3LgCYs.en.vtt	VTT	2.34 KB
07. Summary-hvYQ_3LgCYs.mp4	MP4	16.9 MB
07. Summary-hvYQ_3LgCYs.pt-BR.vtt	VTT	2.79 KB
07. Summary-hvYQ_3LgCYs.zh-CN.vtt	VTT	2.09 KB
07. Summary.html	HTML	5.24 KB
index.html	HTML	3.97 KB

Part 11-Module 02-Lesson 01_Teach a Quadcopter How to Fly

	01. Project Description.html	HTML	5.96 KB
	index.html	HTML	3.5 KB

Visit Coursedrive.net.url

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124 B

assets

css

bootstrap.min.css

CSS

137.64 KB

fonts

KaTeX_AMS-Regular.ttf	TTF	69.75 KB
KaTeX_AMS-Regular.woff	WOFF	39.26 KB
KaTeX_AMS-Regular.woff2	WOFF2	32.43 KB
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KaTeX_Main-Regular.ttf	TTF	68.43 KB
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KaTeX_Typewriter-Regular.woff	WOFF	20.43 KB
KaTeX_Typewriter-Regular.woff2	WOFF2	17.13 KB

jquery.mCustomScrollbar.min.css

CSS

41.83 KB

katex.min.css

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CSS

23.62 KB

styles.css

CSS

3.76 KB

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PNG

461.07 KB

bootstrap.min.js	JS	49.85 KB
jquery-3.3.1.min.js	JS	84.89 KB
jquery.mCustomScrollbar.concat.min.js	JS	44.41 KB
katex.min.js	JS	231.26 KB
plyr.polyfilled.min.js	JS	126.16 KB

img

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JPG

157.95 KB

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HTML

220.72 KB

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