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TensorFlow Machine Learning Projects

You're reading from   TensorFlow Machine Learning Projects Build 13 real-world projects with advanced numerical computations using the Python ecosystem

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789132212
Length 322 pages
Edition 1st Edition
Languages
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Authors (2):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
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Table of Contents (17) Chapters Close

Preface 1. Overview of TensorFlow and Machine Learning FREE CHAPTER 2. Using Machine Learning to Detect Exoplanets in Outer Space 3. Sentiment Analysis in Your Browser Using TensorFlow.js 4. Digit Classification Using TensorFlow Lite 5. Speech to Text and Topic Extraction Using NLP 6. Predicting Stock Prices using Gaussian Process Regression 7. Credit Card Fraud Detection using Autoencoders 8. Generating Uncertainty in Traffic Signs Classifier Using Bayesian Neural Networks 9. Generating Matching Shoe Bags from Shoe Images Using DiscoGANs 10. Classifying Clothing Images using Capsule Networks 11. Making Quality Product Recommendations Using TensorFlow 12. Object Detection at a Large Scale with TensorFlow 13. Generating Book Scripts Using LSTMs 14. Playing Pacman Using Deep Reinforcement Learning 15. What is Next? 16. Other Books You May Enjoy

OpenAI Gym 

OpenAI Gym is a Python-based toolkit for the development of reinforcement learning algorithms. It provides more than 700 open source contributed environments at the time of writing this book. Custom environments for OpenAI can also be created. OpenAI Gym provides a unified interface for working with reinforcement learning environments and takes care of running the simulation, while the user of OpenAI can focus on designing and implementing the reinforcement learning algorithms.

The original research paper on OpenAI Gym is available at the following link: http://arxiv.org/abs/1606.01540.

Let's take a look at the following steps to learn how to install and explore OpenAI Gym:

  1. Install OpenAI Gym using the following command:
pip3 install gym
If the preceding command does not work, then refer to the following link for further help with...
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