[DesireCourse.Net] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

• [DesireCourse.Net] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
• 1. Introduction/1. Introduction.mp4 12 MB
• 1. Introduction/1. Introduction.srt 4.4 KB
• 1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4 16.4 MB
• 1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).srt 16.5 KB
• 1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 299.7 MB
• 1. Introduction/3. FAQ - Frequently Asked Questions.html 413 B
• 1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 299.7 MB
• 10. AutoEncoders/1. Autoencoder Basics.mp4 13.9 MB
• 10. AutoEncoders/1. Autoencoder Basics.srt 12.9 KB
• 10. AutoEncoders/1.1 05-Autoencoders.zip.zip 7.9 MB
• 10. AutoEncoders/1.2 Autoencoder Slides.html 161 B
• 10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 37.6 MB
• 10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.srt 25.1 KB
• 10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.mp4 6.2 MB
• 10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.srt 2.8 KB
• 10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.mp4 22.9 MB
• 10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.srt 11.3 KB
• 10. AutoEncoders/5. Stacked Autoencoder.mp4 43.9 MB
• 10. AutoEncoders/5. Stacked Autoencoder.srt 28.2 KB
• 11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.mp4 8 MB
• 11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.srt 6.5 KB
• 11. Reinforcement Learning with OpenAI Gym/1.1 06-Reinforcement-Learning-OpenAI.zip.zip 10.6 KB
• 11. Reinforcement Learning with OpenAI Gym/1.2 Reinforcement Learning Slides.html 161 B
• 11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.mp4 26 MB
• 11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.srt 16.5 KB
• 11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 32.9 MB
• 11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.srt 16.8 KB
• 11. Reinforcement Learning with OpenAI Gym/2. Extra Resources for Reinforcement Learning.html 1.2 KB
• 11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.mp4 13.9 MB
• 11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.srt 9 KB
• 11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.mp4 14.8 MB
• 11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.srt 11.8 KB
• 11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.mp4 10 MB
• 11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.srt 9.3 KB
• 11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.mp4 15.4 MB
• 11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.srt 13.4 KB
• 11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.mp4 14.8 MB
• 11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.srt 12.7 KB
• 11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 35.8 MB
• 11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.srt 23.6 KB
• 11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.mp4 13.7 MB
• 11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.srt 11.9 KB
• 12. GAN - Generative Adversarial Networks/1. Introduction to GANs.mp4 13.5 MB
• 12. GAN - Generative Adversarial Networks/1. Introduction to GANs.srt 11 KB
• 12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.mp4 19.5 MB
• 12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.srt 13.2 KB
• 12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.mp4 29.3 MB
• 12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.srt 16.1 KB
• 12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.mp4 27.6 MB
• 12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.srt 16.2 KB
• 13. BONUS/1. Bonus Lecture.html 532 B
• 2. Installation and Setup/1. Quick Note for MacOS and Linux Users.html 2 KB
• 2. Installation and Setup/2. Installing TensorFlow and Environment Setup.mp4 27.8 MB
• 2. Installation and Setup/2. Installing TensorFlow and Environment Setup.srt 19.6 KB
• 3. What is Machine Learning/1. Machine Learning Overview.mp4 30.4 MB
• 3. What is Machine Learning/1. Machine Learning Overview.srt 26.6 KB
• 3. What is Machine Learning/1.1 ML Overview Slides.html 161 B
• 4. Crash Course Overview/1. Crash Course Section Introduction.mp4 2.2 MB
• 4. Crash Course Overview/1. Crash Course Section Introduction.srt 1.9 KB
• 4. Crash Course Overview/2. NumPy Crash Course.mp4 32.5 MB
• 4. Crash Course Overview/2. NumPy Crash Course.srt 23.3 KB
• 4. Crash Course Overview/3. Pandas Crash Course.mp4 9 MB
• 4. Crash Course Overview/3. Pandas Crash Course.srt 6.7 KB
• 4. Crash Course Overview/4. Data Visualization Crash Course.mp4 19.5 MB
• 4. Crash Course Overview/4. Data Visualization Crash Course.srt 11.4 KB
• 4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.mp4 20.3 MB
• 4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.srt 13.7 KB
• 4. Crash Course Overview/6. Crash Course Review Exercise.mp4 7.7 MB
• 4. Crash Course Overview/6. Crash Course Review Exercise.srt 3.6 KB
• 4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.mp4 17.4 MB
• 4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.srt 9.1 KB
• 5. Introduction to Neural Networks/1. Introduction to Neural Networks.mp4 1.6 MB
• 5. Introduction to Neural Networks/1. Introduction to Neural Networks.srt 1.5 KB
• 5. Introduction to Neural Networks/1.1 Introduction to NN Slides.html 161 B
• 5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.mp4 25.2 MB
• 5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.srt 13.4 KB
• 5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 40.5 MB
• 5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.srt 24.1 KB
• 5. Introduction to Neural Networks/2. Introduction to Perceptron.mp4 6.8 MB
• 5. Introduction to Neural Networks/2. Introduction to Perceptron.srt 7.8 KB
• 5. Introduction to Neural Networks/3. Neural Network Activation Functions.mp4 8.6 MB
• 5. Introduction to Neural Networks/3. Neural Network Activation Functions.srt 9.5 KB
• 5. Introduction to Neural Networks/4. Cost Functions.mp4 5 MB
• 5. Introduction to Neural Networks/4. Cost Functions.srt 5.2 KB
• 5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.mp4 4.6 MB
• 5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.srt 5.3 KB
• 5. Introduction to Neural Networks/6. TensorFlow Playground.mp4 27.2 MB
• 5. Introduction to Neural Networks/6. TensorFlow Playground.srt 15.3 KB
• 5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.mp4 12.5 MB
• 5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.srt 8.7 KB
• 5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.mp4 11.4 MB
• 5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.srt 11.5 KB
• 5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 13.3 MB
• 5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.srt 12.6 KB
• 6. TensorFlow Basics/1. Introduction to TensorFlow.mp4 2 MB
• 6. TensorFlow Basics/1. Introduction to TensorFlow.srt 2.2 KB
• 6. TensorFlow Basics/1.1 TF Basics Slides.html 161 B
• 6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 31.9 MB
• 6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.srt 16.9 KB

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