Udemy - Complete Guide to TensorFlow for Deep Learning with Python [Desire Course]

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[DesireCourse.Net] Udemy - Complete Guide to TensorFlow for Deep Learning with Python 1. Introduction
  • 1. Introduction.mp4 (12.0 MB)
  • 1. Introduction.srt (4.4 KB)
  • 2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4 (16.4 MB)
  • 2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).srt (16.5 KB)
  • 2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip (299.7 MB)
  • 3. FAQ - Frequently Asked Questions.html (0.4 KB)
  • 3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip (299.7 MB)
10. AutoEncoders
  • 1. Autoencoder Basics.mp4 (13.9 MB)
  • 1. Autoencoder Basics.srt (12.9 KB)
  • 1.1 05-Autoencoders.zip.zip (7.9 MB)
  • 1.2 Autoencoder Slides.html (0.2 KB)
  • 2. Dimensionality Reduction with Linear Autoencoder.mp4 (37.6 MB)
  • 2. Dimensionality Reduction with Linear Autoencoder.srt (25.1 KB)
  • 3. Linear Autoencoder PCA Exercise Overview.mp4 (6.2 MB)
  • 3. Linear Autoencoder PCA Exercise Overview.srt (2.8 KB)
  • 4. Linear Autoencoder PCA Exercise Solutions.mp4 (22.9 MB)
  • 4. Linear Autoencoder PCA Exercise Solutions.srt (11.3 KB)
  • 5. Stacked Autoencoder.mp4 (43.9 MB)
  • 5. Stacked Autoencoder.srt (28.2 KB)
11. Reinforcement Learning with OpenAI Gym
  • 1. Introduction to Reinforcement Learning with OpenAI Gym.mp4 (8.0 MB)
  • 1. Introduction to Reinforcement Learning with OpenAI Gym.srt (6.5 KB)
  • 1.1 06-Reinforcement-Learning-OpenAI.zip.zip (10.6 KB)
  • 1.2 Reinforcement Learning Slides.html (0.2 KB)
  • 10. Policy Gradient Code Along Part One.mp4 (26.0 MB)
  • 10. Policy Gradient Code Along Part One.srt (16.5 KB)
  • 11. Policy Gradient Code Along Part Two.mp4 (32.9 MB)
  • 11. Policy Gradient Code Along Part Two.srt (16.8 KB)
  • 2. Extra Resources for Reinforcement Learning.html (1.2 KB)
  • 3. Introduction to OpenAI Gym.mp4 (13.9 MB)
  • 3. Introduction to OpenAI Gym.srt (9.0 KB)
  • 4. OpenAI Gym Steup.mp4 (14.8 MB)
  • 4. OpenAI Gym Steup.srt (11.8 KB)
  • 5. Open AI Gym Env Basics.mp4 (10.0 MB)
  • 5. Open AI Gym Env Basics.srt (9.3 KB)
  • 6. Open AI Gym Observations.mp4 (15.4 MB)
  • 6. Open AI Gym Observations.srt (13.4 KB)
  • 7. OpenAI Gym Actions.mp4 (14.8 MB)
  • 7. OpenAI Gym Actions.srt (12.7 KB)
  • 8. Simple Neural Network Game.mp4 (35.8 MB)
  • 8. Simple Neural Network Game.srt (23.6 KB)
  • 9. Policy Gradient Theory.mp4 (13.7 MB)
  • 9. Policy Gradient Theory.srt (11.9 KB)
12. GAN - Generative Adversarial Networks
  • 1. Introduction to GANs.mp4 (13.5 MB)
  • 1. Introduction to GANs.srt (11.0 KB)
  • 2. GAN Code Along - Part One.mp4 (19.5 MB)
  • 2. GAN Code Along - Part One.srt (13.2 KB)
  • 3. GAN Code Along - Part Two.mp4 (29.3 MB)
  • 3. GAN Code Along - Part Two.srt (16.1 KB)
  • 4. GAN Code Along - Part Three.mp4 (27.6 MB)
  • 4. GAN Code Along - Part Three.srt (16.2 KB)
13. BONUS
  • 1. Bonus Lecture.html (0.5 KB)
2. Installation and Setup
  • 1. Quick Note for MacOS and Linux Users.html (2.0 KB)
  • 2. Installing TensorFlow and Environment Setup.mp4 (27.8 MB)
  • 2. Installing TensorFlow and Environment Setup.srt (19.6 KB)
3. What is Machine Learning
  • 1. Machine Learning Overview.mp4 (30.4 MB)
  • 1. Machine Learning Overview.srt (26.6 KB)
  • 1.1 ML Overview Slides.html (0.2 KB)
4. Crash Course Overview
  • 1. Crash Course Section Introduction.mp4 (2.2 MB)
  • 1. Crash Course Section Introduction.srt (1.9 KB)
  • 2. NumPy Crash Course.mp4 (32.5 MB)
  • 2. NumPy Crash Course.srt (23.3 KB)
  • 3. Pandas Crash Course.mp4 (9.0 MB)
  • 3. Pandas Crash Course.srt (6.7 KB)
  • 4. Data Visualization Crash Course.mp4 (19.5 MB)
  • 4. Data Visualization Crash Course.srt (11.4 KB)
  • 5. SciKit Learn Preprocessing Overview.mp4 (20.3 MB)
  • 5. SciKit Learn Preprocessing Overview.srt (13.7 KB)
  • 6. Crash Course Review Exercise.mp4 (7.7 MB)
  • 6. Crash Course Review Exercise.srt (3.6 KB)
  • 7. Crash Course Review Exercise - Solutions.mp4 (17.4 MB)
  • 7. Crash Course Review Exercise - Solutions.srt (9.1 KB)
5. Introduction to Neural Networks
  • 1. Introduction to Neural Networks.mp4 (1.6 MB)
  • 1. Introduction to Neural Networks.srt (1.5 KB)
  • 1.1 Introduction to NN Slides.html (0.2 KB)
  • 10. Manual Creation of Neural Network - Part Four - Session.mp4 (25.2 MB)
  • 10. Manual Creation of Neural Network - Part Four - Session.srt (13.4 KB)
  • 11. Manual Neural Network Classification Task.mp4 (40.5 MB)
  • 11. Manual Neural Network Classification Task.srt (24.1 KB)
  • 2. Introduction to Perceptron.mp4 (6.8 MB)
  • 2. Introduction to Perceptron.srt (7.8 KB)
  • 3. Neural Network Activation Functions.mp4 (8.6 MB)
  • 3. Neural Network Activation Functions.srt (9.5 KB)
  • 4. Cost Functions.mp4 (5.0 MB)
  • 4. Cost Functions.srt (5.2 KB)
  • 5. Gradient Descent Backpropagation.mp4 (4.6 MB)
  • 5. Gradient Descent Backpropagation.srt (5.3 KB)
  • 6. TensorFlow Playground.mp4 (27.2 MB)
  • 6. TensorFlow Playground.srt (15.3 KB)
  • 7. Manual Creation of Neural Network - Part One.mp4 (12.5 MB)
  • 7. Manual Creation of Neural Network - Part One.srt (8.7 KB)
  • 8. Manual Creation of Neural Network - Part Two - Operations.mp4 (11.4 MB)
  • 8. Manual Creation of Neural Network - Part Two - Operations.srt (11.5 KB)
  • 9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 (13.3 MB)
  • 9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.srt (12.6 KB)
6. TensorFlow Basics
  • 1. Introduction to TensorFlow.mp4 (2.0 MB)
  • 1. Introduction to TensorFlow.srt (2.2 KB)
  • 1.1 TF Basics Slides.html (0.2 KB)
  • 10. TensorFlow Classification Example - Part Two.mp4 (31.9 MB)
  • 10. TensorFlow Classification Exam

Description

Complete Guide to TensorFlow for Deep Learning with Python

Learn how to use Google’s Deep Learning Framework – TensorFlow with Python! Solve problems with cutting edge techniques!

For More Courses Visit: https://desirecourse.net



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Udemy - Complete Guide to TensorFlow for Deep Learning with Python [Desire Course]

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2.3 GB
seeders:2
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Udemy - Complete Guide to TensorFlow for Deep Learning with Python [Desire Course]

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