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TensorFlow 1.x Deep Learning Cookbook

You're reading from   TensorFlow 1.x Deep Learning Cookbook Over 90 unique recipes to solve artificial-intelligence driven problems with Python

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788293594
Length 536 pages
Edition 1st Edition
Languages
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Authors (2):
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Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
Antonio Gulli Antonio Gulli
Author Profile Icon Antonio Gulli
Antonio Gulli
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Toc

Table of Contents (15) Chapters Close

Preface 1. TensorFlow - An Introduction 2. Regression FREE CHAPTER 3. Neural Networks - Perceptron 4. Convolutional Neural Networks 5. Advanced Convolutional Neural Networks 6. Recurrent Neural Networks 7. Unsupervised Learning 8. Autoencoders 9. Reinforcement Learning 10. Mobile Computation 11. Generative Models and CapsNet 12. Distributed TensorFlow and Cloud Deep Learning 13. Learning to Learn with AutoML (Meta-Learning) 14. TensorFlow Processing Units

Learning OpenAI Gym

We will be using OpenAI Gym to provide an environment for our Agent. OpenAI Gym is an open source toolkit to develop and compare RL algorithms. It contains a variety of simulated environments that can be used to train agents and develop new RL algorithms.

Getting ready

The first thing to do is install OpenAI Gym; a minimal installation can be done using pip install gym. The OpenAI gym provides a variety of environments, such as Atari, board games, and 2D or 3D physics engines. The minimal installation works on Windows and supports only basic environments--algorithmic, toy_text, and classic_control--but if you want to explore other environments, they will need more dependencies. The full make is supported...

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