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maxpumperla authored Aug 27, 2018
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# Deep Learning and the Game of Go [![Build Status](https://travis-ci.org/maxpumperla/deep_learning_and_the_game_of_go.svg?branch=master)](https://travis-ci.org/maxpumperla/deep_learning_and_the_game_of_go)

This repository is first and foremost a comprehensive machine learning framework for the game of Go, focussing on deep learning techniques. What you'll find here is a library that builds up from the game-play basics to very advanced techniques. In particular, you find code **for early approaches in game AI, intermediate techniques using deep learning, to implementations of AlphaGo and AlphaGo Zero - all presented in one common framework**.
This repository is first and foremost a comprehensive machine learning framework for the game of Go, focussing on deep learning techniques. What you'll find here is a library that builds up from the game-play basics to very advanced techniques. In particular, you find code **for early approaches in game AI, intermediate techniques using deep learning, to implementations of AlphaGo and AlphaGo Zero - all presented in one common framework**. You can install this library with pip and follow the `examples` in the `code` folder.

```bash
pip install dlgo
```

On the other hand, this repository at the same time contains [Code](https://github.com/maxpumperla/deep_learning_and_the_game_of_go/tree/master/code), and sample chapters for the book "Deep Learning and the Game of Go" (Manning), available for early access [here](https://www.manning.com/books/deep-learning-and-the-game-of-go), which ties into the library and teaches its components bit by biy. If you're following the code samples from the book, check out the branches for
individual chapters.
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