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[DesireCourse Net] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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Torrent Files List
1. Introduction (Size: 2.29 GB) (Files: 201)
1. Introduction
1. Introduction.mp4
1. Introduction.srt
2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4
2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).srt
2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip
3. FAQ - Frequently Asked Questions.html
3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip
10. AutoEncoders
1. Autoencoder Basics.mp4
1. Autoencoder Basics.srt
1.1 05-Autoencoders.zip.zip
1.2 Autoencoder Slides.html
2. Dimensionality Reduction with Linear Autoencoder.mp4
2. Dimensionality Reduction with Linear Autoencoder.srt
3. Linear Autoencoder PCA Exercise Overview.mp4
3. Linear Autoencoder PCA Exercise Overview.srt
4. Linear Autoencoder PCA Exercise Solutions.mp4
4. Linear Autoencoder PCA Exercise Solutions.srt
5. Stacked Autoencoder.mp4
5. Stacked Autoencoder.srt
11. Reinforcement Learning with OpenAI Gym
1. Introduction to Reinforcement Learning with OpenAI Gym.mp4
1. Introduction to Reinforcement Learning with OpenAI Gym.srt
1.1 06-Reinforcement-Learning-OpenAI.zip.zip
1.2 Reinforcement Learning Slides.html
10. Policy Gradient Code Along Part One.mp4
10. Policy Gradient Code Along Part One.srt
11. Policy Gradient Code Along Part Two.mp4
11. Policy Gradient Code Along Part Two.srt
2. Extra Resources for Reinforcement Learning.html
3. Introduction to OpenAI Gym.mp4
3. Introduction to OpenAI Gym.srt
4. OpenAI Gym Steup.mp4
4. OpenAI Gym Steup.srt
5. Open AI Gym Env Basics.mp4
5. Open AI Gym Env Basics.srt
6. Open AI Gym Observations.mp4
6. Open AI Gym Observations.srt
7. OpenAI Gym Actions.mp4
7. OpenAI Gym Actions.srt
8. Simple Neural Network Game.mp4
8. Simple Neural Network Game.srt
9. Policy Gradient Theory.mp4
9. Policy Gradient Theory.srt
12. GAN - Generative Adversarial Networks
1. Introduction to GANs.mp4
1. Introduction to GANs.srt
2. GAN Code Along - Part One.mp4
2. GAN Code Along - Part One.srt
3. GAN Code Along - Part Two.mp4
3. GAN Code Along - Part Two.srt
4. GAN Code Along - Part Three.mp4
4. GAN Code Along - Part Three.srt
13. BONUS
1. Bonus Lecture.html
2. Installation and Setup
1. Quick Note for MacOS and Linux Users.html
2. Installing TensorFlow and Environment Setup.mp4
2. Installing TensorFlow and Environment Setup.srt
3. What is Machine Learning
1. Machine Learning Overview.mp4
1. Machine Learning Overview.srt
1.1 ML Overview Slides.html
4. Crash Course Overview
1. Crash Course Section Introduction.mp4
1. Crash Course Section Introduction.srt
2. NumPy Crash Course.mp4
2. NumPy Crash Course.srt
3. Pandas Crash Course.mp4
3. Pandas Crash Course.srt
4. Data Visualization Crash Course.mp4
4. Data Visualization Crash Course.srt
5. SciKit Learn Preprocessing Overview.mp4
5. SciKit Learn Preprocessing Overview.srt
6. Crash Course Review Exercise.mp4
6. Crash Course Review Exercise.srt
7. Crash Course Review Exercise - Solutions.mp4
7. Crash Course Review Exercise - Solutions.srt
5. Introduction to Neural Networks
1. Introduction to Neural Networks.mp4
1. Introduction to Neural Networks.srt
1.1 Introduction to NN Slides.html
10. Manual Creation of Neural Network - Part Four - Session.mp4
10. Manual Creation of Neural Network - Part Four - Session.srt
11. Manual Neural Network Classification Task.mp4
11. Manual Neural Network Classification Task.srt
2. Introduction to Perceptron.mp4
2. Introduction to Perceptron.srt
3. Neural Network Activation Functions.mp4
3. Neural Network Activation Functions.srt
4. Cost Functions.mp4
4. Cost Functions.srt
5. Gradient Descent Backpropagation.mp4
5. Gradient Descent Backpropagation.srt
6. TensorFlow Playground.mp4
6. TensorFlow Playground.srt
7. Manual Creation of Neural Network - Part One.mp4
7. Manual Creation of Neural Network - Part One.srt
8. Manual Creation of Neural Network - Part Two - Operations.mp4
8. Manual Creation of Neural Network - Part Two - Operations.srt
9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4
9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.srt
6. TensorFlow Basics
1. Introduction to TensorFlow.mp4
1. Introduction to TensorFlow.srt
1.1 TF Basics Slides.html
10. TensorFlow Classification Example - Part Two.mp4
10. TensorFlow Classification Example - Part Two.srt
11. TF Regression Exercise.mp4
11. TF Regression Exercise.srt
12. TF Regression Exercise Solution Walkthrough.mp4
12. TF Regression Exercise Solution Walkthrough.srt
13. TF Classification Exercise.mp4
13. TF Classification Exercise.srt
14. TF Classification Exercise Solution Walkthrough.mp4
14. TF Classification Exercise Solution Walkthrough.srt
15. Saving and Restoring Models.mp4
15. Saving and Restoring Models.srt
15.1 Link to notebook.html
2. TensorFlow Basic Syntax.mp4
2. TensorFlow Basic Syntax.srt
3. TensorFlow Graphs.mp4
3. TensorFlow Graphs.srt
4. Variables and Placeholders.mp4
4. Variables and Placeholders.srt
5. TensorFlow - A Neural Network - Part One.mp4
5. TensorFlow - A Neural Network - Part One.srt
6. TensorFlow - A Neural Network - Part Two.mp4
6. TensorFlow - A Neural Network - Part Two.srt
7. TensorFlow Regression Example - Part One.mp4
7. TensorFlow Regression Example - Part One.srt
8. TensorFlow Regression Example _ Part Two.mp4
8. TensorFlow Regression Example _ Part Two.srt
9. TensorFlow Classification Example - Part One.mp4
9. TensorFlow Classification Example - Part One.srt
7. Convolutional Neural Networks
1. Introduction to Convolutional Neural Network Section.mp4
1. Introduction to Convolutional Neural Network Section.srt
1.1 CNN Slides.html
10. CNN MNIST Code Along - Part One.mp4
10. CNN MNIST Code Along - Part One.srt
11. CNN MNIST Code Along - Part Two.mp4
11. CNN MNIST Code Along - Part Two.srt
12. Introduction to CNN Project.mp4
12. Introduction to CNN Project.srt
13. CNN Project Exercise Solution - Part One.mp4
13. CNN Project Exercise Solution - Part One.srt
14. CNN Project Exercise Solution - Part Two.mp4
14. CNN Project Exercise Solution - Part Two.srt
2. Review of Neural Networks.mp4
2. Review of Neural Networks.srt
3. New Theory Topics.mp4
3. New Theory Topics.srt
4. Quick note on MNIST lecture.html
5. MNIST Data Overview.mp4
5. MNIST Data Overview.srt
6. MNIST Basic Approach Part One.mp4
6. MNIST Basic Approach Part One.srt
7. MNIST Basic Approach Part Two.mp4
7. MNIST Basic Approach Part Two.srt
8. CNN Theory Part One.mp4
8. CNN Theory Part One.srt
9. CNN Theory Part Two.mp4
9. CNN Theory Part Two.srt
8. Recurrent Neural Networks
1. Introduction to RNN Section.mp4
1. Introduction to RNN Section.srt
1.1 RNN Slides.html
10. RNN with TensorFlow - Part Three.mp4
10. RNN with TensorFlow - Part Three.srt
11. Time Series Exercise Overview.mp4
11. Time Series Exercise Overview.srt
12. Time Series Exercise Solution.mp4
12. Time Series Exercise Solution.srt
13. Quick Note on Word2Vec.mp4
13. Quick Note on Word2Vec.srt
14. Word2Vec Theory.mp4
14. Word2Vec Theory.srt
15. Word2Vec Code Along - Part One.mp4
15. Word2Vec Code Along - Part One.srt
16. Word2Vec Part Two.mp4
16. Word2Vec Part Two.srt
2. RNN Theory.mp4
2. RNN Theory.srt
3. Manual Creation of RNN.mp4
3. Manual Creation of RNN.srt
4. Vanishing Gradients.mp4
4. Vanishing Gradients.srt
5. LSTM and GRU Theory.mp4
5. LSTM and GRU Theory.srt
6. Introduction to RNN with TensorFlow API.mp4
6. Introduction to RNN with TensorFlow API.srt
7. RNN with TensorFlow - Part One.mp4
7. RNN with TensorFlow - Part One.srt
8. RNN with TensorFlow - Part Two.mp4
8. RNN with TensorFlow - Part Two.srt
9. Quick Note on RNN Plotting Part 3.html
9. Miscellaneous Topics
1. Intro to Miscellaneous Topics.html
1.1 Miscellaneous-Topics.zip.zip
2. Deep Nets with Tensorflow Abstractions API - Part One.mp4
2. Deep Nets with Tensorflow Abstractions API - Part One.srt
3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4
3. Deep Nets with Tensorflow Abstractions API - Estimator API.srt
4. Deep Nets with Tensorflow Abstractions API - Keras.mp4
4. Deep Nets with Tensorflow Abstractions API - Keras.srt
5. Deep Nets with Tensorflow Abstractions API - Layers.mp4
5. Deep Nets with Tensorflow Abstractions API - Layers.srt
6. Tensorboard.mp4
6. Tensorboard.srt
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