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[CourseClub.NET].url |
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[FCS Forum].url |
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[FreeCourseSite.com].url |
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1.1 Autoencoder Slides.html |
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1.1 CNN Slides.html |
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1.1 Introduction to NN Slides.html |
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1.1 Miscellaneous-Topics.zip.zip |
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1.1 ML Overview Slides.html |
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1.1 Reinforcement Learning Slides.html |
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1.1 RNN Slides.html |
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1.1 TF Basics Slides.html |
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1.2 05-Autoencoders.zip.zip |
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1.2 06-Reinforcement-Learning-OpenAI.zip.zip |
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1. Autoencoder Basics.mp4 |
13.91MB |
1. Autoencoder Basics.vtt |
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1. Bonus Lecture Discounts for for My Other Courses.html |
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1. Crash Course Section Introduction.mp4 |
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1. Crash Course Section Introduction.vtt |
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1. Introduction.mp4 |
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1. Introduction.vtt |
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1. Introduction to Convolutional Neural Network Section.mp4 |
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1. Introduction to Convolutional Neural Network Section.vtt |
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1. Introduction to GANs.mp4 |
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1. Introduction to GANs.vtt |
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1. Introduction to Neural Networks.mp4 |
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1. Introduction to Neural Networks.vtt |
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1. Introduction to Reinforcement Learning with OpenAI Gym.mp4 |
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1. Introduction to Reinforcement Learning with OpenAI Gym.vtt |
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1. Introduction to RNN Section.mp4 |
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1. Introduction to RNN Section.vtt |
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1. Introduction to TensorFlow.mp4 |
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1. Introduction to TensorFlow.vtt |
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1. Intro to Miscellaneous Topics.html |
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1. Machine Learning Overview.mp4 |
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1. Machine Learning Overview.vtt |
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1. Quick Note for MacOS and Linux Users.html |
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10. CNN MNIST Code Along - Part One.mp4 |
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10. CNN MNIST Code Along - Part One.vtt |
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10. Manual Creation of Neural Network - Part Four - Session.mp4 |
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10. Manual Creation of Neural Network - Part Four - Session.vtt |
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10. Policy Gradient Code Along Part One.mp4 |
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10. Policy Gradient Code Along Part One.vtt |
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10. RNN with TensorFlow - Part Three.mp4 |
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10. RNN with TensorFlow - Part Three.vtt |
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10. TensorFlow Classification Example - Part Two.mp4 |
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10. TensorFlow Classification Example - Part Two.vtt |
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11. CNN MNIST Code Along - Part Two.mp4 |
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11. CNN MNIST Code Along - Part Two.vtt |
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11. Manual Neural Network Classification Task.mp4 |
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11. Manual Neural Network Classification Task.vtt |
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11. Policy Gradient Code Along Part Two.mp4 |
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11. TF Regression Exercise.mp4 |
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11. TF Regression Exercise.vtt |
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11. Time Series Exercise Overview.mp4 |
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11. Time Series Exercise Overview.vtt |
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12. Introduction to CNN Project.mp4 |
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12. Introduction to CNN Project.vtt |
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12. TF Regression Exercise Solution Walkthrough.mp4 |
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12. TF Regression Exercise Solution Walkthrough.vtt |
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12. Time Series Exercise Solution.mp4 |
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12. Time Series Exercise Solution.vtt |
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13. CNN Project Exercise Solution - Part One.mp4 |
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13. CNN Project Exercise Solution - Part One.vtt |
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13. Quick Note on Word2Vec.mp4 |
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13. Quick Note on Word2Vec.vtt |
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13. TF Classification Exercise.mp4 |
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13. TF Classification Exercise.vtt |
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14. CNN Project Exercise Solution - Part Two.mp4 |
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14. CNN Project Exercise Solution - Part Two.vtt |
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14. TF Classification Exercise Solution Walkthrough.mp4 |
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14. TF Classification Exercise Solution Walkthrough.vtt |
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14. Word2Vec Theory.mp4 |
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14. Word2Vec Theory.vtt |
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15.1 Link to notebook.html |
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15. Saving and Restoring Models.mp4 |
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15. Saving and Restoring Models.vtt |
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15. Word2Vec Code Along - Part One.mp4 |
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15. Word2Vec Code Along - Part One.vtt |
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16. Word2Vec Part Two.mp4 |
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16. Word2Vec Part Two.vtt |
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2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip |
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2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4 |
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2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).vtt |
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2. Deep Nets with Tensorflow Abstractions API - Part One.mp4 |
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2. Deep Nets with Tensorflow Abstractions API - Part One.vtt |
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2. Dimensionality Reduction with Linear Autoencoder.mp4 |
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2. Dimensionality Reduction with Linear Autoencoder.vtt |
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2. Extra Resources for Reinforcement Learning.html |
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2. GAN Code Along - Part One.mp4 |
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2. GAN Code Along - Part One.vtt |
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2. Installing TensorFlow Environment.mp4 |
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2. Installing TensorFlow Environment.vtt |
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2. Introduction to Perceptron.mp4 |
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2. Introduction to Perceptron.vtt |
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2. NumPy Crash Course.mp4 |
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2. NumPy Crash Course.vtt |
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2. Review of Neural Networks.mp4 |
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2. Review of Neural Networks.vtt |
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2. RNN Theory.mp4 |
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2. RNN Theory.vtt |
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2. TensorFlow Basic Syntax.mp4 |
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2. TensorFlow Basic Syntax.vtt |
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3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip |
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3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4 |
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3. Deep Nets with Tensorflow Abstractions API - Estimator API.vtt |
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3. FAQ - Frequently Asked Questions.html |
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3. GAN Code Along - Part Two.mp4 |
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3. GAN Code Along - Part Two.vtt |
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3. Introduction to OpenAI Gym.mp4 |
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3. Introduction to OpenAI Gym.vtt |
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3. Linear Autoencoder PCA Exercise Overview.mp4 |
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3. Linear Autoencoder PCA Exercise Overview.vtt |
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3. Manual Creation of RNN.mp4 |
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3. Manual Creation of RNN.vtt |
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3. Neural Network Activation Functions.mp4 |
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3. Neural Network Activation Functions.vtt |
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3. New Theory Topics.mp4 |
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3. New Theory Topics.vtt |
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3. Pandas Crash Course.mp4 |
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3. Pandas Crash Course.vtt |
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3. TensorFlow Graphs.mp4 |
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3. TensorFlow Graphs.vtt |
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4. Cost Functions.mp4 |
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4. Cost Functions.vtt |
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4. Data Visualization Crash Course.mp4 |
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4. Data Visualization Crash Course.vtt |
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4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 |
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4. Deep Nets with Tensorflow Abstractions API - Keras.vtt |
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4. GAN Code Along - Part Three.mp4 |
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4. GAN Code Along - Part Three.vtt |
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4. Linear Autoencoder PCA Exercise Solutions.mp4 |
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4. Linear Autoencoder PCA Exercise Solutions.vtt |
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4. OpenAI Gym Steup.mp4 |
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4. OpenAI Gym Steup.vtt |
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4. Quick note on MNIST lecture.html |
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4. Vanishing Gradients.mp4 |
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4. Vanishing Gradients.vtt |
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4. Variables and Placeholders.mp4 |
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4. Variables and Placeholders.vtt |
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5. Deep Nets with Tensorflow Abstractions API - Layers.mp4 |
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5. Deep Nets with Tensorflow Abstractions API - Layers.vtt |
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5. Gradient Descent Backpropagation.mp4 |
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5. Gradient Descent Backpropagation.vtt |
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5. LSTM and GRU Theory.mp4 |
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5. LSTM and GRU Theory.vtt |
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5. MNIST Data Overview.mp4 |
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5. MNIST Data Overview.vtt |
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5. Open AI Gym Env Basics.mp4 |
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5. Open AI Gym Env Basics.vtt |
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5. SciKit Learn Preprocessing Overview.mp4 |
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5. SciKit Learn Preprocessing Overview.vtt |
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5. Stacked Autoencoder.mp4 |
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5. Stacked Autoencoder.vtt |
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5. TensorFlow - A Neural Network - Part One.mp4 |
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5. TensorFlow - A Neural Network - Part One.vtt |
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6. Crash Course Review Exercise.mp4 |
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6. Crash Course Review Exercise.vtt |
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6. Introduction to RNN with TensorFlow API.mp4 |
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6. Introduction to RNN with TensorFlow API.vtt |
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6. MNIST Basic Approach Part One.mp4 |
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6. MNIST Basic Approach Part One.vtt |
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6. Open AI Gym Observations.mp4 |
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6. Open AI Gym Observations.vtt |
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6. Tensorboard.mp4 |
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6. Tensorboard.vtt |
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6. TensorFlow - A Neural Network - Part Two.mp4 |
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6. TensorFlow - A Neural Network - Part Two.vtt |
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6. TensorFlow Playground.mp4 |
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6. TensorFlow Playground.vtt |
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7. Crash Course Review Exercise - Solutions.mp4 |
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7. Crash Course Review Exercise - Solutions.vtt |
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7. Manual Creation of Neural Network - Part One.mp4 |
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7. Manual Creation of Neural Network - Part One.vtt |
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7. MNIST Basic Approach Part Two.mp4 |
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7. MNIST Basic Approach Part Two.vtt |
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7. OpenAI Gym Actions.mp4 |
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7. OpenAI Gym Actions.vtt |
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7. RNN with TensorFlow - Part One.mp4 |
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7. RNN with TensorFlow - Part One.vtt |
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7. TensorFlow Regression Example - Part One.mp4 |
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7. TensorFlow Regression Example - Part One.vtt |
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8. CNN Theory Part One.mp4 |
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8. CNN Theory Part One.vtt |
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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.vtt |
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8. RNN with TensorFlow - Part Two.mp4 |
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8. RNN with TensorFlow - Part Two.vtt |
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8. Simple Neural Network Game.mp4 |
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8. Simple Neural Network Game.vtt |
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8. TensorFlow Regression Example _ Part Two.mp4 |
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8. TensorFlow Regression Example _ Part Two.vtt |
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9. CNN Theory Part Two.mp4 |
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9. CNN Theory Part Two.vtt |
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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.vtt |
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9. Policy Gradient Theory.mp4 |
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9. Policy Gradient Theory.vtt |
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9. Quick Note on RNN Plotting Part 3.html |
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9. TensorFlow Classification Example - Part One.mp4 |
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9. TensorFlow Classification Example - Part One.vtt |
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