[GigaCourse.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

Creation Time	March 8, 2025, 1:12 p.m.
Last Access Time	Sept. 13, 2025, 6:41 p.m.
File Size	2.3 GB
Keywords	Complete for Python with - Deep Udemy to GigaCourse Learning TensorFlow com Guide
Total Requests	40
Total Files	200
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1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 299.7 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.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
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 32.9 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 16.3 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.srt 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 8.5 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.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.srt 6.6 MB
7. Convolutional Neural Networks/5. MNIST Data Overview.mp4 6.6 MB
7. Convolutional Neural Networks/9. CNN Theory Part Two.mp4 6.5 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 6.1 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.mp4 6.1 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.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
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.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
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
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt 4.8 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
Readme.txt 962 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
10. AutoEncoders/1.2 Autoencoder Slides.html 161 bytes
11. Reinforcement Learning with OpenAI Gym/1.2 Reinforcement Learning Slides.html 161 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
6. TensorFlow Basics/15.1 Link to notebook.html 145 bytes
7. Convolutional Neural Networks/4. Quick note on MNIST lecture.html 121 bytes
[GigaCourse.com].url 49 bytes

[GigaCourse.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

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