Udemy - Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

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Udemy - Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

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Udemy - Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
TutsNode.com.txt
TXT
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[TutsNode.com] - Deep Learning Advanced Computer Vision (GANs, SSD, +More!)
1. Welcome
1. Introduction.mp4
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7.77 MB
1. Introduction.srt
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3.21 KB
2. Outline and Perspective.mp4
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7.45 MB
2. Outline and Perspective.srt
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8.85 KB
3. Where to get the code.mp4
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46.05 MB
3. Where to get the code.srt
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12.38 KB
3.1 Colab Notebooks.html
HTML
157 B
3.2 Github Link.html
HTML
120 B
4. How to Succeed in this Course.mp4
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3.3 MB
4. How to Succeed in this Course.srt
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3.97 KB
10. GANs (Generative Adversarial Networks)
1. GAN Theory.mp4
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91.06 MB
1. GAN Theory.srt
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20.71 KB
2. GAN Colab Notebook.html
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246 B
3. GAN Code.mp4
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82.29 MB
3. GAN Code.srt
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14.88 KB
11. Object Localization Project
1. Localization Introduction and Outline.mp4
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62.9 MB
1. Localization Introduction and Outline.srt
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18.11 KB
10. Localization Code (pt 4).mp4
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13.32 MB
10. Localization Code (pt 4).srt
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2.23 KB
11. Localization Code Outline (pt 5).mp4
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43.07 MB
11. Localization Code Outline (pt 5).srt
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10.75 KB
12. Localization Code (pt 5).mp4
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59.85 MB
12. Localization Code (pt 5).srt
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10.4 KB
13. Localization Code Outline (pt 6).mp4
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33.57 MB
13. Localization Code Outline (pt 6).srt
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9.42 KB
14. Localization Code (pt 6).mp4
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56.68 MB
14. Localization Code (pt 6).srt
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9.91 KB
15. Localization Code Outline (pt 7).mp4
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20.61 MB
15. Localization Code Outline (pt 7).srt
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6.32 KB
16. Localization Code (pt 7).mp4
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77.18 MB
16. Localization Code (pt 7).srt
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15.48 KB
2. Localization Code Outline (pt 1).mp4
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41.29 MB
2. Localization Code Outline (pt 1).srt
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14.08 KB
3. Object Localization Colab Notebooks.html
HTML
789 B
4. Localization Code (pt 1).mp4
MP4
53.81 MB
4. Localization Code (pt 1).srt
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11.83 KB
5. Localization Code Outline (pt 2).mp4
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18.71 MB
5. Localization Code Outline (pt 2).srt
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6.16 KB
6. Localization Code (pt 2).mp4
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58.6 MB
6. Localization Code (pt 2).srt
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13.71 KB
7. Localization Code Outline (pt 3).mp4
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12.33 MB
7. Localization Code Outline (pt 3).srt
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4.31 KB
8. Localization Code (pt 3).mp4
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30.06 MB
8. Localization Code (pt 3).srt
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5.1 KB
9. Localization Code Outline (pt 4).mp4
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13.66 MB
9. Localization Code Outline (pt 4).srt
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4.59 KB
12. Keras and Tensorflow 2 Basics Review
1. (Review) Tensorflow Basics.mp4
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81.53 MB
1. (Review) Tensorflow Basics.srt
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5.88 KB
2. (Review) Tensorflow Neural Network in Code.mp4
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97.24 MB
2. (Review) Tensorflow Neural Network in Code.srt
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5.51 KB
3. (Review) Keras Discussion.mp4
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27.64 MB
3. (Review) Keras Discussion.srt
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9.08 KB
4. (Review) Keras Neural Network in Code.mp4
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66.16 MB
4. (Review) Keras Neural Network in Code.srt
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7.34 KB
5. (Review) Keras Functional API.mp4
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38.64 MB
5. (Review) Keras Functional API.srt
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5.4 KB
6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4
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9.81 MB
6. (Review) How to easily convert Keras into Tensorflow 2.0 code.srt
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2.08 KB
13. Setting Up Your Environment (FAQ by Student Request)
1. Windows-Focused Environment Setup 2018.mp4
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186.32 MB
1. Windows-Focused Environment Setup 2018.srt
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20.1 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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43.82 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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14.48 KB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)
1. How to Code by Yourself (part 1).mp4
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24.53 MB
1. How to Code by Yourself (part 1).srt
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22.75 KB
2. How to Code by Yourself (part 2).mp4
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8.64 MB
2. How to Code by Yourself (part 2).srt
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13.22 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4
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78.26 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt
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14.12 KB
4. Python 2 vs Python 3.mp4
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5.47 MB
4. Python 2 vs Python 3.srt
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6.05 KB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)
1. How to Succeed in this Course (Long Version).mp4
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12.99 MB
1. How to Succeed in this Course (Long Version).srt
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14.66 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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38.95 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
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31.79 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
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29.32 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
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16.03 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
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37.62 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
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23.04 KB
16. Appendix FAQ Finale
1. What is the Appendix.mp4
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5.45 MB
1. What is the Appendix.srt
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3.72 KB
2. BONUS Where to get discount coupons and FREE deep learning material.mp4
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37.81 MB
2. BONUS Where to get discount coupons and FREE deep learning material.srt
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7.87 KB
2. Machine Learning Basics Review
1. What is Machine Learning.mp4
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70.85 MB
1. What is Machine Learning.srt
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18.94 KB
10. Saving and Loading a Model.mp4
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33.86 MB
10. Saving and Loading a Model.srt
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4.94 KB
11. Suggestion Box.mp4
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16.11 MB
11. Suggestion Box.srt
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4.7 KB
2. Code Preparation (Classification Theory).mp4
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65.13 MB
2. Code Preparation (Classification Theory).srt
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20.47 KB
3. Beginner's Code Preamble.mp4
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25.11 MB
3. Beginner's Code Preamble.srt
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6.88 KB
3.1 Notebooks.html
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157 B
4. Classification Notebook.mp4
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60.47 MB
4. Classification Notebook.srt
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9.22 KB
5. Code Preparation (Regression Theory).mp4
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30.71 MB
5. Code Preparation (Regression Theory).srt
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8.85 KB
6. Regression Notebook.mp4
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64.67 MB
6. Regression Notebook.srt
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12.36 KB
7. The Neuron.mp4
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45.48 MB
7. The Neuron.srt
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12.61 KB
8. How does a model learn.mp4
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51.84 MB
8. How does a model learn.srt
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14.27 KB
9. Making Predictions.mp4
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36.85 MB
9. Making Predictions.srt
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8.12 KB
3. Artificial Neural Networks (ANN) Review
1. Artificial Neural Networks Section Introduction.mp4
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29.85 MB
1. Artificial Neural Networks Section Introduction.srt
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8 KB
2. Forward Propagation.mp4
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46.75 MB
2. Forward Propagation.srt
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12.41 KB
3. The Geometrical Picture.mp4
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56.46 MB
3. The Geometrical Picture.srt
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11.73 KB
4. Activation Functions.mp4
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80.61 MB
4. Activation Functions.srt
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22.9 KB
5. Multiclass Classification.mp4
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41.41 MB
5. Multiclass Classification.srt
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11.09 KB
6. How to Represent Images.mp4
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70.49 MB
6. How to Represent Images.srt
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15.84 KB
7. Code Preparation (ANN).mp4
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50.97 MB
7. Code Preparation (ANN).srt
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16.41 KB
8. ANN for Image Classification.mp4
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47.71 MB
8. ANN for Image Classification.srt
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9.93 KB
9. ANN for Regression.mp4
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69.23 MB
9. ANN for Regression.srt
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13.31 KB
4. Convolutional Neural Networks (CNN) Review
1. What is Convolution (part 1).mp4
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79.83 MB
1. What is Convolution (part 1).srt
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20.65 KB
10. Batch Normalization.mp4
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21.13 MB
10. Batch Normalization.srt
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6.48 KB
11. Improving CIFAR-10 Results.mp4
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72.94 MB
11. Improving CIFAR-10 Results.srt
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13.34 KB
2. What is Convolution (part 2).mp4
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22.3 MB
2. What is Convolution (part 2).srt
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6.99 KB
3. What is Convolution (part 3).mp4
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27.63 MB
3. What is Convolution (part 3).srt
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8.21 KB
4. Convolution on Color Images.mp4
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69.43 MB
4. Convolution on Color Images.srt
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20.79 KB
5. CNN Architecture.mp4
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80.68 MB
5. CNN Architecture.srt
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28.64 KB
6. CNN Code Preparation.mp4
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76.91 MB
6. CNN Code Preparation.srt
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19.77 KB
7. CNN for Fashion MNIST.mp4
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42.8 MB
7. CNN for Fashion MNIST.srt
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7.98 KB
8. CNN for CIFAR-10.mp4
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29.69 MB
8. CNN for CIFAR-10.srt
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5.47 KB
9. Data Augmentation.mp4
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34.99 MB
9. Data Augmentation.srt
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11.41 KB
5. VGG and Transfer Learning
1. VGG Section Intro.mp4
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2.69 MB
1. VGG Section Intro.srt
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3.83 KB
2. What's so special about VGG.mp4
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12.19 MB
2. What's so special about VGG.srt
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9.04 KB
3. Transfer Learning.mp4
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38.12 MB
3. Transfer Learning.srt
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10.37 KB
4. Relationship to Greedy Layer-Wise Pretraining.mp4
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3.88 MB
4. Relationship to Greedy Layer-Wise Pretraining.srt
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2.6 KB
5. Getting the data.mp4
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1.77 MB
5. Getting the data.srt
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2.83 KB
6. Code pt 1.mp4
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11.51 MB
6. Code pt 1.srt
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12.21 KB
7. Code pt 2.mp4
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8.56 MB
7. Code pt 2.srt
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4.78 KB
8. Code pt 3.mp4
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4.22 MB
8. Code pt 3.srt
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4.35 KB
9. VGG Section Summary.mp4
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3.15 MB
9. VGG Section Summary.srt
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2.08 KB
6. ResNet (and Inception)
1. ResNet Section Intro.mp4
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2.82 MB
1. ResNet Section Intro.srt
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3.73 KB
10. Building ResNet - Putting it all together.mp4
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5.91 MB
10. Building ResNet - Putting it all together.srt
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5.13 KB
11. Exercise Apply ResNet.mp4
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2.07 MB
11. Exercise Apply ResNet.srt
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1.55 KB
12. Applying ResNet.mp4
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3.59 MB
12. Applying ResNet.srt
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3.11 KB
13. 1x1 Convolutions.mp4
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3.11 MB
13. 1x1 Convolutions.srt
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4.92 KB
14. Optional Inception.mp4
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5.39 MB
14. Optional Inception.srt
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8.63 KB
15. Different sized images using the same network.mp4
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7.41 MB
15. Different sized images using the same network.srt
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5.51 KB
16. ResNet Section Summary.mp4
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4.19 MB
16. ResNet Section Summary.srt
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2.9 KB
2. ResNet Architecture.mp4
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10.39 MB
2. ResNet Architecture.srt
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16.52 KB
3. Building ResNet - Strategy.mp4
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2.66 MB
3. Building ResNet - Strategy.srt
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2.96 KB
4. Uh-oh! What Happens if the Implementation Changes.mp4
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25.34 MB
4. Uh-oh! What Happens if the Implementation Changes.srt
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7.17 KB
5. Building ResNet - Conv Block Details.mp4
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6.18 MB
5. Building ResNet - Conv Block Details.srt
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4.53 KB
6. Building ResNet - Conv Block Code.mp4
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8.97 MB
6. Building ResNet - Conv Block Code.srt
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7.8 KB
7. Building ResNet - Identity Block Details.mp4
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2.38 MB
7. Building ResNet - Identity Block Details.srt
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1.72 KB
8. Building ResNet - First Few Layers.mp4
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4.03 MB
8. Building ResNet - First Few Layers.srt
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3.04 KB
9. Building ResNet - First Few Layers (Code).mp4
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10.31 MB
9. Building ResNet - First Few Layers (Code).srt
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4.79 KB
7. Object Detection (SSD RetinaNet)
1. SSD Section Intro.mp4
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5.69 MB
1. SSD Section Intro.srt
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6.17 KB
10. RetinaNet with Custom Dataset (pt 2).mp4
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60.52 MB
10. RetinaNet with Custom Dataset (pt 2).srt
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12.04 KB
11. RetinaNet with Custom Dataset (pt 3).mp4
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61.81 MB
11. RetinaNet with Custom Dataset (pt 3).srt
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8.01 KB
12. Optional Intersection over Union & Non-max Suppression.mp4
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4.59 MB
12. Optional Intersection over Union & Non-max Suppression.srt
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6.32 KB
13. SSD Section Summary.mp4
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2.83 MB
13. SSD Section Summary.srt
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3.5 KB
2. Object Localization.mp4
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5.69 MB
2. Object Localization.srt
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8.12 KB
3. What is Object Detection.mp4
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4.79 MB
3. What is Object Detection.srt
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3.6 KB
4. How would you find an object in an image.mp4
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7.85 MB
4. How would you find an object in an image.srt
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10.43 KB
5. The Problem of Scale.mp4
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4.16 MB
5. The Problem of Scale.srt
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4.63 KB
6. The Problem of Shape.mp4
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3.59 MB
6. The Problem of Shape.srt
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4.61 KB
7. 2020 Update - More Fun and Excitement.mp4
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34.59 MB
7. 2020 Update - More Fun and Excitement.srt
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8.33 KB
8. Using Pretrained RetinaNet.mp4
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88.23 MB
8. Using Pretrained RetinaNet.srt
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14.59 KB
8.1 Notebooks.html
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157 B
9. RetinaNet with Custom Dataset (pt 1).mp4
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26.6 MB
9. RetinaNet with Custom Dataset (pt 1).srt
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6.09 KB
8. Neural Style Transfer
1. Style Transfer Section Intro.mp4
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2.91 MB
1. Style Transfer Section Intro.srt
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3.71 KB
2. Style Transfer Theory.mp4
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19.94 MB
2. Style Transfer Theory.srt
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14.43 KB
3. Optimizing the Loss.mp4
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7.24 MB
3. Optimizing the Loss.srt
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10.3 KB
4. Code pt 1.mp4
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9.46 MB
4. Code pt 1.srt
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9.54 KB
5. Code pt 2.mp4
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15.71 MB
5. Code pt 2.srt
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9.13 KB
6. Code pt 3.mp4
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5.74 MB
6. Code pt 3.srt
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4.46 KB
7. Style Transfer Section Summary.mp4
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2.5 MB
7. Style Transfer Section Summary.srt
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2.89 KB
9. Class Activation Maps
1. Class Activation Maps (Theory).mp4
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53.42 MB
1. Class Activation Maps (Theory).srt
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8.79 KB
2. Class Activation Maps (Code).mp4
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104.76 MB
2. Class Activation Maps (Code).srt
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10.06 KB

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