[Udemy] Complete Guide to TensorFlow for Deep Learning with Python (2020) [En]

Creation Time	Sept. 8, 2023, 10:19 p.m.
Last Access Time	Jan. 7, 2026, 11:03 a.m.
File Size	2.3 GB
Keywords	En Complete for Python Deep Udemy to 2020 Learning TensorFlow with Guide
Total Requests	57
Total Files	200
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 299.7 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 299.7 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 57.8 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 50.2 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt 45.0 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 43.9 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 40.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 40.0 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 37.6 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 35.8 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 35.5 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 35.1 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 34.9 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 34.1 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 33.4 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 33.4 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 32.8 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 32.5 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 32.5 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 31.9 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 30.4 MB
8. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.mp4 30.3 MB
6. TensorFlow Basics/7. TensorFlow Regression Example - Part One.mp4 30.1 MB
12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.mp4 29.3 MB
9. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.mp4 28.7 MB
2. Installation and Setup/2. Installing TensorFlow and Environment Setup.mp4 27.8 MB
6. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.mp4 27.8 MB
12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.mp4 27.6 MB
5. Introduction to Neural Networks/6. TensorFlow Playground.mp4 27.2 MB
7. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.mp4 27.0 MB
7. Convolutional Neural Networks/8. CNN Theory Part One.mp4 26.6 MB
7. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.mp4 26.2 MB
11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.mp4 26.0 MB
5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.mp4 25.2 MB
6. TensorFlow Basics/9. TensorFlow Classification Example - Part One.mp4 23.8 MB
10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.mp4 22.9 MB
6. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.mp4 21.7 MB
4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.mp4 20.3 MB
7. Convolutional Neural Networks/3. New Theory Topics.mp4 19.7 MB
4. Crash Course Overview/4. Data Visualization Crash Course.mp4 19.5 MB
12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.mp4 19.5 MB
6. TensorFlow Basics/2. TensorFlow Basic Syntax.mp4 19.0 MB
9. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4 18.7 MB
4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.mp4 17.4 MB
8. Recurrent Neural Networks/3. Manual Creation of RNN.mp4 16.6 MB
8. Recurrent Neural Networks/14. Word2Vec Theory.mp4 16.6 MB
1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4 16.4 MB
9. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.mp4 16.2 MB
7. Convolutional Neural Networks/12. Introduction to CNN Project.mp4 16.1 MB
6. TensorFlow Basics/15. Saving and Restoring Models.mp4 15.4 MB
11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.mp4 15.4 MB
11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.mp4 14.8 MB
11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.mp4 14.8 MB
11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.mp4 13.9 MB
10. AutoEncoders/1. Autoencoder Basics.mp4 13.9 MB
11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.mp4 13.7 MB
8. Recurrent Neural Networks/11. Time Series Exercise Overview.mp4 13.6 MB
12. GAN - Generative Adversarial Networks/1. Introduction to GANs.mp4 13.5 MB
5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 13.3 MB
8. Recurrent Neural Networks/5. LSTM and GRU Theory.mp4 12.9 MB
6. TensorFlow Basics/4. Variables and Placeholders.mp4 12.8 MB
8. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.mp4 12.7 MB
5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.mp4 12.5 MB
7. Convolutional Neural Networks/6. MNIST Basic Approach Part One.mp4 12.1 MB
1. Introduction/1. Introduction.mp4 12.0 MB
6. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.mp4 11.6 MB
5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.mp4 11.4 MB
8. Recurrent Neural Networks/2. RNN Theory.mp4 10.3 MB
11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.mp4 10.0 MB
7. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.mp4 9.6 MB
4. Crash Course Overview/3. Pandas Crash Course.mp4 9.0 MB
6. TensorFlow Basics/13. TF Classification Exercise.mp4 9.0 MB
5. Introduction to Neural Networks/3. Neural Network Activation Functions.mp4 8.6 MB
6. TensorFlow Basics/3. TensorFlow Graphs.mp4 8.6 MB
11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.mp4 8.0 MB
6. TensorFlow Basics/11. TF Regression Exercise.mp4 8.0 MB
10. AutoEncoders/1.1 05-Autoencoders.zip 7.9 MB
4. Crash Course Overview/6. Crash Course Review Exercise.mp4 7.7 MB
5. Introduction to Neural Networks/2. Introduction to Perceptron.mp4 6.8 MB
7. Convolutional Neural Networks/5. MNIST Data Overview.mp4 6.6 MB
7. Convolutional Neural Networks/9. CNN Theory Part Two.mp4 6.6 MB
8. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.mp4 6.3 MB
10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.mp4 6.2 MB
8. Recurrent Neural Networks/4. Vanishing Gradients.mp4 6.0 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.mp4 6.0 MB
5. Introduction to Neural Networks/4. Cost Functions.mp4 5.0 MB
5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.mp4 4.6 MB
7. Convolutional Neural Networks/2. Review of Neural Networks.mp4 3.4 MB
4. Crash Course Overview/1. Crash Course Section Introduction.mp4 2.2 MB
6. TensorFlow Basics/1. Introduction to TensorFlow.mp4 2.0 MB
5. Introduction to Neural Networks/1. Introduction to Neural Networks.mp4 1.6 MB
8. Recurrent Neural Networks/1. Introduction to RNN Section.mp4 1.6 MB
7. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.mp4 1.2 MB
9. Miscellaneous Topics/1.1 Miscellaneous-Topics.zip 74.1 KB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.srt 32.8 KB
6. TensorFlow Basics/7. TensorFlow Regression Example - Part One.srt 28.8 KB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.srt 28.8 KB
10. AutoEncoders/5. Stacked Autoencoder.srt 28.2 KB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.srt 27.5 KB
7. Convolutional Neural Networks/8. CNN Theory Part One.srt 27.3 KB
3. What is Machine Learning/1. Machine Learning Overview.srt 26.6 KB
8. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.srt 26.0 KB
9. Miscellaneous Topics/6. Tensorboard.srt 25.7 KB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.srt 25.1 KB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.srt 24.9 KB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.srt 24.5 KB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.srt 24.1 KB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.srt 23.8 KB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.srt 23.6 KB
7. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.srt 23.5 KB
4. Crash Course Overview/2. NumPy Crash Course.srt 23.3 KB
7. Convolutional Neural Networks/3. New Theory Topics.srt 22.4 KB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.srt 22.3 KB
6. TensorFlow Basics/2. TensorFlow Basic Syntax.srt 19.8 KB
6. TensorFlow Basics/9. TensorFlow Classification Example - Part One.srt 19.7 KB
2. Installation and Setup/2. Installing TensorFlow and Environment Setup.srt 19.6 KB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.srt 18.2 KB
8. Recurrent Neural Networks/14. Word2Vec Theory.srt 18.2 KB
6. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.srt 17.2 KB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.srt 16.9 KB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.srt 16.8 KB
8. Recurrent Neural Networks/16. Word2Vec Part Two.srt 16.8 KB
6. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.srt 16.8 KB
1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).srt 16.5 KB
11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.srt 16.5 KB
7. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.srt 16.5 KB
12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.srt 16.2 KB
12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.srt 16.1 KB
8. Recurrent Neural Networks/3. Manual Creation of RNN.srt 16.0 KB
5. Introduction to Neural Networks/6. TensorFlow Playground.srt 15.3 KB
9. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.srt 15.3 KB
8. Recurrent Neural Networks/5. LSTM and GRU Theory.srt 14.5 KB
4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.srt 13.7 KB
5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.srt 13.4 KB
11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.srt 13.4 KB
12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.srt 13.2 KB
10. AutoEncoders/1. Autoencoder Basics.srt 12.9 KB
7. Convolutional Neural Networks/6. MNIST Basic Approach Part One.srt 12.8 KB
11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.srt 12.7 KB
5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.srt 12.6 KB
8. Recurrent Neural Networks/2. RNN Theory.srt 12.0 KB
11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.srt 11.9 KB
11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.srt 11.8 KB
8. Recurrent Neural Networks/11. Time Series Exercise Overview.srt 11.7 KB
5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.srt 11.5 KB
4. Crash Course Overview/4. Data Visualization Crash Course.srt 11.4 KB
10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.srt 11.3 KB
6. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.srt 11.0 KB
12. GAN - Generative Adversarial Networks/1. Introduction to GANs.srt 11.0 KB
9. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.srt 10.8 KB
9. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.srt 10.8 KB
8. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.srt 10.6 KB
11. Reinforcement Learning with OpenAI Gym/1.1 06-Reinforcement-Learning-OpenAI.zip 10.6 KB
6. TensorFlow Basics/15. Saving and Restoring Models.srt 10.1 KB
7. Convolutional Neural Networks/12. Introduction to CNN Project.srt 10.0 KB
5. Introduction to Neural Networks/3. Neural Network Activation Functions.srt 9.5 KB
11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.srt 9.3 KB
4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.srt 9.1 KB
11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.srt 9.0 KB
6. TensorFlow Basics/4. Variables and Placeholders.srt 9.0 KB
5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.srt 8.7 KB
6. TensorFlow Basics/3. TensorFlow Graphs.srt 8.6 KB
5. Introduction to Neural Networks/2. Introduction to Perceptron.srt 7.8 KB
6. TensorFlow Basics/13. TF Classification Exercise.srt 7.6 KB
7. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.srt 7.6 KB
8. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.srt 7.0 KB
8. Recurrent Neural Networks/4. Vanishing Gradients.srt 6.7 KB
4. Crash Course Overview/3. Pandas Crash Course.srt 6.7 KB
11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.srt 6.5 KB
7. Convolutional Neural Networks/9. CNN Theory Part Two.srt 6.5 KB
7. Convolutional Neural Networks/5. MNIST Data Overview.srt 6.4 KB
6. TensorFlow Basics/11. TF Regression Exercise.srt 5.3 KB
5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.srt 5.3 KB
5. Introduction to Neural Networks/4. Cost Functions.srt 5.2 KB
1. Introduction/1. Introduction.srt 4.4 KB
7. Convolutional Neural Networks/2. Review of Neural Networks.srt 3.9 KB
4. Crash Course Overview/6. Crash Course Review Exercise.srt 3.6 KB
10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.srt 2.8 KB
6. TensorFlow Basics/1. Introduction to TensorFlow.srt 2.2 KB
2. Installation and Setup/1. Quick Note for MacOS and Linux Users.html 2.0 KB
4. Crash Course Overview/1. Crash Course Section Introduction.srt 1.9 KB
8. Recurrent Neural Networks/1. Introduction to RNN Section.srt 1.7 KB
5. Introduction to Neural Networks/1. Introduction to Neural Networks.srt 1.5 KB
7. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.srt 1.3 KB
11. Reinforcement Learning with OpenAI Gym/2. Extra Resources for Reinforcement Learning.html 1.2 KB
8. Recurrent Neural Networks/9. Quick Note on RNN Plotting Part 3.html 1020 bytes
13. BONUS/1. Bonus Lecture.html 532 bytes
1. Introduction/3. FAQ - Frequently Asked Questions.html 413 bytes
9. Miscellaneous Topics/1. Intro to Miscellaneous Topics.html 344 bytes
3. What is Machine Learning/1.1 ML Overview Slides.html 161 bytes
5. Introduction to Neural Networks/1.1 Introduction to NN Slides.html 161 bytes
6. TensorFlow Basics/1.1 TF Basics Slides.html 161 bytes
7. Convolutional Neural Networks/1.1 CNN Slides.html 161 bytes
8. Recurrent Neural Networks/1.1 RNN Slides.html 161 bytes
10. AutoEncoders/1.2 Autoencoder Slides.html 161 bytes
11. Reinforcement Learning with OpenAI Gym/1.2 Reinforcement Learning Slides.html 161 bytes
6. TensorFlow Basics/15.1 Link to notebook.html 145 bytes
1. Introduction/2.2 GET THE UPDATED YML FILE HERE.html 127 bytes
1. Introduction/3.2 GET THE UPDATED YML FILE HERE.html 127 bytes
7. Convolutional Neural Networks/4. Quick note on MNIST lecture.html 121 bytes

[Udemy] Complete Guide to TensorFlow for Deep Learning with Python (2020) [En]

File List

Download Torrent

Related Resources

Copyright Infringement