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Mastering TensorFlow 1.x

You're reading from   Mastering TensorFlow 1.x Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788292061
Length 474 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (21) Chapters Close

Preface 1. TensorFlow 101 2. High-Level Libraries for TensorFlow FREE CHAPTER 3. Keras 101 4. Classical Machine Learning with TensorFlow 5. Neural Networks and MLP with TensorFlow and Keras 6. RNN with TensorFlow and Keras 7. RNN for Time Series Data with TensorFlow and Keras 8. RNN for Text Data with TensorFlow and Keras 9. CNN with TensorFlow and Keras 10. Autoencoder with TensorFlow and Keras 11. TensorFlow Models in Production with TF Serving 12. Transfer Learning and Pre-Trained Models 13. Deep Reinforcement Learning 14. Generative Adversarial Networks 15. Distributed Models with TensorFlow Clusters 16. TensorFlow Models on Mobile and Embedded Platforms 17. TensorFlow and Keras in R 18. Debugging TensorFlow Models 19. Tensor Processing Units
20. Other Books You May Enjoy

OpenAI Gym 101

OpenAI Gym is a Python-based toolkit for the research and development of reinforcement learning algorithms. OpenAI Gym provides more than 700 opensource contributed environments at the time of writing. With OpenAI, you can also create your own environments. The biggest advantage is that OpenAI provides a unified interface for working with these environments, and takes care of running the simulation while you focus on the reinforcement learning algorithms.

The research paper describing OpenAI Gym is available at this link: http://arxiv.org/abs/1606.01540.

You can install OpenAI Gym using the following command:

pip3 install gym
If the above command does not work, then you can find further help with installation at the following link: https://github.com/openai/gym#installation.
  1. Let us print the number of available environments in OpenAI Gym:
You can follow along...
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