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1. Autoencoder Basics.mp4
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13.9 MB
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1. Autoencoder Basics.srt
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1. Bonus Lecture.html
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512 B
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1. Crash Course Section Introduction.mp4
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2.2 MB
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1. Crash Course Section Introduction.srt
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1.9 KB
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1. Intro to Miscellaneous Topics.html
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HTML
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307 B
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1. Introduction to Convolutional Neural Network Section.mp4
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1.2 MB
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1. Introduction to Convolutional Neural Network Section.srt
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1. Introduction to GANs.mp4
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13.5 MB
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11 KB
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1. Introduction to Neural Networks.mp4
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1. Introduction to Neural Networks.srt
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1. Introduction to RNN Section.mp4
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1. Introduction to RNN Section.srt
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1. Introduction to Reinforcement Learning with OpenAI Gym.mp4
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MP4
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8 MB
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1. Introduction to Reinforcement Learning with OpenAI Gym.srt
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1. Introduction to TensorFlow.mp4
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2 MB
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1. Introduction to TensorFlow.srt
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1. Introduction.mp4
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12 MB
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1. Introduction.srt
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1. Machine Learning Overview.mp4
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MP4
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30.4 MB
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1. Machine Learning Overview.srt
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SRT
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26.6 KB
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1. Quick Note for MacOS and Linux Users.html
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HTML
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2 KB
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1.1 05-Autoencoders.zip.zip
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ZIP
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7.9 MB
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1.1 06-Reinforcement-Learning-OpenAI.zip.zip
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ZIP
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10.6 KB
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1.1 CNN Slides.html
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HTML
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204 B
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1.1 Introduction to NN Slides.html
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HTML
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204 B
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1.1 ML Overview Slides.html
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HTML
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204 B
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1.1 Miscellaneous-Topics.zip.zip
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ZIP
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74.1 KB
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1.1 RNN Slides.html
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HTML
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204 B
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1.1 TF Basics Slides.html
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HTML
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204 B
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1.2 Autoencoder Slides.html
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HTML
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204 B
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1.2 Reinforcement Learning Slides.html
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HTML
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204 B
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10. CNN MNIST Code Along - Part One.mp4
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MP4
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26.2 MB
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10. CNN MNIST Code Along - Part One.srt
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10. Manual Creation of Neural Network - Part Four - Session.mp4
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25.2 MB
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10. Manual Creation of Neural Network - Part Four - Session.srt
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10. Policy Gradient Code Along Part One.mp4
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26 MB
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10. Policy Gradient Code Along Part One.srt
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10. RNN with TensorFlow - Part Three.mp4
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10. RNN with TensorFlow - Part Three.srt
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10. TensorFlow Classification Example - Part Two.mp4
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31.9 MB
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10. TensorFlow Classification Example - Part Two.srt
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11. CNN MNIST Code Along - Part Two.mp4
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9.6 MB
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11. CNN MNIST Code Along - Part Two.srt
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11. Manual Neural Network Classification Task.mp4
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40.5 MB
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11. Manual Neural Network Classification Task.srt
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11. Policy Gradient Code Along Part Two.mp4
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32.9 MB
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11. Policy Gradient Code Along Part Two.srt
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11. TF Regression Exercise.mp4
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8 MB
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11. TF Regression Exercise.srt
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11. Time Series Exercise Overview.mp4
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13.6 MB
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11. Time Series Exercise Overview.srt
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12. Introduction to CNN Project.mp4
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16.1 MB
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12. Introduction to CNN Project.srt
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10 KB
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12. TF Regression Exercise Solution Walkthrough.mp4
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27.8 MB
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12. TF Regression Exercise Solution Walkthrough.srt
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12. Time Series Exercise Solution.mp4
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35.1 MB
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12. Time Series Exercise Solution.srt
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13. CNN Project Exercise Solution - Part One.mp4
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50.2 MB
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13. CNN Project Exercise Solution - Part One.srt
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13. Quick Note on Word2Vec.mp4
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13. Quick Note on Word2Vec.srt
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13. TF Classification Exercise.mp4
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9 MB
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13. TF Classification Exercise.srt
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14. CNN Project Exercise Solution - Part Two.mp4
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27 MB
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14. CNN Project Exercise Solution - Part Two.srt
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14. TF Classification Exercise Solution Walkthrough.mp4
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21.7 MB
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14. TF Classification Exercise Solution Walkthrough.srt
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14. Word2Vec Theory.mp4
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16.6 MB
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14. Word2Vec Theory.srt
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15. Saving and Restoring Models.mp4
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15. Saving and Restoring Models.srt
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15. Word2Vec Code Along - Part One.mp4
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35.5 MB
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15. Word2Vec Code Along - Part One.srt
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15.1 Link to notebook.html
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102 B
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16. Word2Vec Part Two.mp4
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33.4 MB
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16. Word2Vec Part Two.srt
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2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4
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16.4 MB
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2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).srt
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2. Deep Nets with Tensorflow Abstractions API - Part One.mp4
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16.3 MB
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2. Deep Nets with Tensorflow Abstractions API - Part One.srt
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2. Dimensionality Reduction with Linear Autoencoder.mp4
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37.6 MB
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2. Dimensionality Reduction with Linear Autoencoder.srt
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25.1 KB
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2. Extra Resources for Reinforcement Learning.html
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1.2 KB
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2. GAN Code Along - Part One.mp4
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19.5 MB
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2. GAN Code Along - Part One.srt
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2. Installing TensorFlow and Environment Setup.mp4
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27.8 MB
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2. Installing TensorFlow and Environment Setup.srt
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2. Introduction to Perceptron.mp4
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6.8 MB
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2. Introduction to Perceptron.srt
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2. NumPy Crash Course.mp4
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32.5 MB
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2. NumPy Crash Course.srt
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2. RNN Theory.mp4
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10.3 MB
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2. RNN Theory.srt
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12 KB
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2. Review of Neural Networks.mp4
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2. Review of Neural Networks.srt
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2. TensorFlow Basic Syntax.mp4
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19 MB
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2. TensorFlow Basic Syntax.srt
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2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip
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299.7 MB
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3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4
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MP4
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18.7 MB
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3. Deep Nets with Tensorflow Abstractions API - Estimator API.srt
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10.8 KB
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3. FAQ - Frequently Asked Questions.html
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409 B
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3. GAN Code Along - Part Two.mp4
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MP4
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29.3 MB
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3. GAN Code Along - Part Two.srt
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16.1 KB
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3. Introduction to OpenAI Gym.mp4
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MP4
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13.9 MB
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3. Introduction to OpenAI Gym.srt
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9 KB
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3. Linear Autoencoder PCA Exercise Overview.mp4
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6.2 MB
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3. Linear Autoencoder PCA Exercise Overview.srt
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3. Manual Creation of RNN.mp4
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16.6 MB
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3. Manual Creation of RNN.srt
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16 KB
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3. Neural Network Activation Functions.mp4
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3. Neural Network Activation Functions.srt
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3. New Theory Topics.mp4
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19.7 MB
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3. New Theory Topics.srt
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3. Pandas Crash Course.mp4
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9 MB
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3. Pandas Crash Course.srt
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3. TensorFlow Graphs.mp4
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3. TensorFlow Graphs.srt
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3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip
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299.7 MB
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4. Cost Functions.mp4
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MP4
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5 MB
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4. Cost Functions.srt
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4. Data Visualization Crash Course.mp4
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19.5 MB
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4. Data Visualization Crash Course.srt
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11.4 KB
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4. Deep Nets with Tensorflow Abstractions API - Keras.mp4
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33.4 MB
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4. Deep Nets with Tensorflow Abstractions API - Keras.srt
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4. GAN Code Along - Part Three.mp4
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27.6 MB
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4. GAN Code Along - Part Three.srt
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4. Linear Autoencoder PCA Exercise Solutions.mp4
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22.9 MB
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4. Linear Autoencoder PCA Exercise Solutions.srt
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4. OpenAI Gym Steup.mp4
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14.8 MB
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4. OpenAI Gym Steup.srt
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4. Quick note on MNIST lecture.html
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102 B
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4. Vanishing Gradients.mp4
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6.1 MB
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4. Vanishing Gradients.srt
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4. Variables and Placeholders.mp4
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12.8 MB
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4. Variables and Placeholders.srt
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5. Deep Nets with Tensorflow Abstractions API - Layers.mp4
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28.7 MB
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5. Deep Nets with Tensorflow Abstractions API - Layers.srt
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5. Gradient Descent Backpropagation.mp4
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5. Gradient Descent Backpropagation.srt
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5. LSTM and GRU Theory.mp4
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5. LSTM and GRU Theory.srt
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5. MNIST Data Overview.mp4
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6.6 MB
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5. MNIST Data Overview.srt
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5. Open AI Gym Env Basics.mp4
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MP4
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10 MB
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5. Open AI Gym Env Basics.srt
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5. SciKit Learn Preprocessing Overview.mp4
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20.3 MB
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5. SciKit Learn Preprocessing Overview.srt
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5. Stacked Autoencoder.mp4
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43.9 MB
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5. Stacked Autoencoder.srt
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28.2 KB
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5. TensorFlow - A Neural Network - Part One.mp4
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11.6 MB
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5. TensorFlow - A Neural Network - Part One.srt
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11 KB
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6. Crash Course Review Exercise.mp4
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MP4
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7.7 MB
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6. Crash Course Review Exercise.srt
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3.6 KB
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6. Introduction to RNN with TensorFlow API.mp4
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6.3 MB
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6. Introduction to RNN with TensorFlow API.srt
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6. MNIST Basic Approach Part One.mp4
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12.1 MB
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6. MNIST Basic Approach Part One.srt
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6. Open AI Gym Observations.mp4
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15.4 MB
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6. Open AI Gym Observations.srt
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6. TensorFlow - A Neural Network - Part Two.mp4
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32.5 MB
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6. TensorFlow - A Neural Network - Part Two.srt
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6. TensorFlow Playground.mp4
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6. TensorFlow Playground.srt
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6. Tensorboard.mp4
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40 MB
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6. Tensorboard.srt
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7. Crash Course Review Exercise - Solutions.mp4
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17.4 MB
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7. Crash Course Review Exercise - Solutions.srt
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7. MNIST Basic Approach Part Two.mp4
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34.9 MB
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7. MNIST Basic Approach Part Two.srt
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7. Manual Creation of Neural Network - Part One.mp4
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12.5 MB
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7. Manual Creation of Neural Network - Part One.srt
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7. OpenAI Gym Actions.mp4
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MP4
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14.8 MB
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7. OpenAI Gym Actions.srt
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12.7 KB
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7. RNN with TensorFlow - Part One.mp4
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MP4
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34.1 MB
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7. RNN with TensorFlow - Part One.srt
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7. TensorFlow Regression Example - Part One.mp4
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MP4
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30.1 MB
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7. TensorFlow Regression Example - Part One.srt
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8. CNN Theory Part One.mp4
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8. CNN Theory Part One.srt
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8. Manual Creation of Neural Network - Part Two - Operations.mp4
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8. Manual Creation of Neural Network - Part Two - Operations.srt
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8. RNN with TensorFlow - Part Two.mp4
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MP4
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8. RNN with TensorFlow - Part Two.srt
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26 KB
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8. Simple Neural Network Game.mp4
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8. Simple Neural Network Game.srt
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8. TensorFlow Regression Example _ Part Two.mp4
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57.8 MB
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8. TensorFlow Regression Example _ Part Two.srt
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9. CNN Theory Part Two.mp4
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9. CNN Theory Part Two.srt
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9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4
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9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.srt
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9. Policy Gradient Theory.mp4
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13.7 MB
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9. Policy Gradient Theory.srt
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9. Quick Note on RNN Plotting Part 3.html
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1 KB
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9. TensorFlow Classification Example - Part One.mp4
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23.8 MB
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9. TensorFlow Classification Example - Part One.srt
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19.7 KB
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[CourseClub.Me].url
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URL
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0 B
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[DesireCourse.Net].url
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URL
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0 B
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[FreeCourseWorld.Com].url
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URL
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102 B
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