<commit_before># machine-learning-and-deep-learning

Sample codes to study machine learning and deep learning

## Description

1. [Inductive Learning](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/01-inductive-learning)
2. [Q Learning](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/02-q-learning)
3. [Ant Colony](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/03-ant-colony)
4. [Generic Algorithm](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/04-generic-algorithm)
5. [Neuron](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/05-neuron)
6. [Neural Network](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/06-neural-network)
7. [Back Propagation](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/07-back-propagation)
8. [Convolutional and Pooling](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/08-convolutional-and-pooling)
9. [CNN (Convolutional Neural Network)](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/09-cnn)
10. [Auto Encoder](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/10-auto-encoder)

## Requirement

## Usage

## License
[MIT](https://github.com/saitoxu/machine-learning-and-deep-learning/blob/master/LICENSE)<commit_msg>improve README.md<commit_after># machine-learning-and-deep-learning

Sample codes to study machine learning and deep learning

## Description

1. [Inductive Learning](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/01-inductive-learning)
2. [Q Learning](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/02-q-learning)
3. [Ant Colony](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/03-ant-colony)
4. [Generic Algorithm](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/04-generic-algorithm)
5. [Neuron](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/05-neuron)
6. [Neural Network](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/06-neural-network)
7. [Back Propagation](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/07-back-propagation)
8. [Convolutional and Pooling](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/08-convolutional-and-pooling)
9. [CNN (Convolutional Neural Network)](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/09-cnn)
10. [Auto Encoder](https://github.com/saitoxu/machine-learning-and-deep-learning/tree/master/10-auto-encoder)

## Requirement

Only `node` command is required. I tested all programs by the following version.

```bash
% node --version
v4.5.0
```

## Usage

## Reference

This is inspired by this book:

[機械学習と深層学習 ―C言語によるシミュレーション―](https://www.amazon.co.jp/%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92%E3%81%A8%E6%B7%B1%E5%B1%A4%E5%AD%A6%E7%BF%92-%E2%80%95C%E8%A8%80%E8%AA%9E%E3%81%AB%E3%82%88%E3%82%8B%E3%82%B7%E3%83%9F%E3%83%A5%E3%83%AC%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%E2%80%95-%E5%B0%8F%E9%AB%98%E7%9F%A5%E5%AE%8F/dp/4274218872) (written in only Japanese)

## License
[MIT](https://github.com/saitoxu/machine-learning-and-deep-learning/blob/master/LICENSE)
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