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Hands-On Neural Networks

You're reading from   Hands-On Neural Networks Learn how to build and train your first neural network model using Python

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781788992596
Length 280 pages
Edition 1st Edition
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Authors (2):
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Leonardo De Marchi Leonardo De Marchi
Author Profile Icon Leonardo De Marchi
Leonardo De Marchi
Laura Mitchell Laura Mitchell
Author Profile Icon Laura Mitchell
Laura Mitchell
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Getting Started FREE CHAPTER
2. Getting Started with Supervised Learning 3. Neural Network Fundamentals 4. Section 2: Deep Learning Applications
5. Convolutional Neural Networks for Image Processing 6. Exploiting Text Embedding 7. Working with RNNs 8. Reusing Neural Networks with Transfer Learning 9. Section 3: Advanced Applications
10. Working with Generative Algorithms 11. Implementing Autoencoders 12. Deep Belief Networks 13. Reinforcement Learning 14. Whats Next? 15. Other Books You May Enjoy

Playing with OpenAI Gym

As we mentioned previously, OpenAI is one of the main research companies that is working on RL. They released a set of environments to test different algorithms under one interface. You can find out more information about this at https://gym.openai.com/.

Installing it on macOS or Linux it's quite straightforward; you can type in the following command:

pip install gym

At the time of writing this book, it's more complicated to install on Windows. To do so, you can perform the following steps:

  1. Install VcXsrv Windows X Server from vcXsrv.
  2. Run bash.
  3. Install all the dependencies listed at https://github.com/openai/gym/#installing-everything by using the following command:
pip install gym
  1. After rebooting, invoke VcXsrv.
  2. Run the following command:
export DISPLAY=:0

Now, it should be possible to run a very simple algorithm, which is just repeating...

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