<commit_before>Chainer Examples
================

This page contains a list of example codes written with Chainer.

### <a name="natual-language-processing"></a> Natural Language Processing

* [Recurrent Net Language Model](https://github.com/chainer/chainer/tree/master/examples/ptb)
* [Recursive Nets for Sentiment Analysis](https://github.com/chainer/chainer/tree/master/examples/sentiment)
* [Word2Vec - WordEmbedding](https://github.com/chainer/chainer/tree/master/examples/word2vec)

### <a name="image-classification"></a> Image Classification

* [Multi-Layer Perceptron for MNIST Classification](https://github.com/chainer/chainer/tree/master/examples/mnist)
* [Convolutional neural networks for CIFAR-10 and CIFAR-100 Classification](https://github.com/chainer/chainer/tree/master/examples/cifar)
* [ImageNet: Large Scale ConvNets](https://github.com/chainer/chainer/tree/master/examples/imagenet)
* [Evaluate a Caffe reference model](https://github.com/chainer/chainer/tree/master/examples/modelzoo)

### <a name="generative-models"></a> Generative Models

* [Variational AutoEncoder](https://github.com/chainer/chainer/tree/master/examples/vae)
* [DCGAN](https://github.com/chainer/chainer/tree/master/examples/dcgan)
<commit_msg>Add RL examples and other committer-provided examples placed in external repositories<commit_after>Chainer Examples
================

This page contains a list of example codes written with Chainer.

### <a name="natual-language-processing"></a> Natural Language Processing

* [Recurrent Net Language Model](https://github.com/chainer/chainer/tree/master/examples/ptb)
* [Recursive Nets for Sentiment Analysis](https://github.com/chainer/chainer/tree/master/examples/sentiment)
* [Word2Vec - WordEmbedding](https://github.com/chainer/chainer/tree/master/examples/word2vec)

### <a name="image-classification"></a> Image Classification

* [Multi-Layer Perceptron for MNIST Classification](https://github.com/chainer/chainer/tree/master/examples/mnist)
* [Convolutional neural networks for CIFAR-10 and CIFAR-100 Classification](https://github.com/chainer/chainer/tree/master/examples/cifar)
* [ImageNet: Large Scale ConvNets](https://github.com/chainer/chainer/tree/master/examples/imagenet)
* [Evaluate a Caffe reference model](https://github.com/chainer/chainer/tree/master/examples/modelzoo)

### <a name="object-detection"></a> Object Detection

* [ChainerCV example: Faster R-CNN](https://github.com/chainer/chainercv/tree/master/examples/faster_rcnn)
* [ChainerCV example: Single Shot Multibox Detector (SSD)](https://github.com/chainer/chainercv/tree/master/examples/ssd)

### <a name="semantic-segmentation"></a> Semantic Segmentation

* [ChainerCV example: SegNet](https://github.com/chainer/chainercv/tree/master/examples/segnet)

### <a name="generative-models"></a> Generative Models

* [Variational AutoEncoder](https://github.com/chainer/chainer/tree/master/examples/vae)
* [DCGAN](https://github.com/chainer/chainer/tree/master/examples/dcgan)
* [pfnet-resaerch example: Chainer-GAN-lib](https://github.com/pfnet-research/chainer-gan-lib)
* [pfnet-resaerch example: Pix2Pix](https://github.com/pfnet-research/chainer-pix2pix)

### <a name="graph-cnn"></a> Graph Convolutional Network

* [pfnet-resaerch example: Chainer Graph CNN](https://github.com/pfnet-research/chainer-graph-cnn)

### <a name="reinforcement-learning"></a> Reinforcement Learning

* [DQN and DoubleDQN on discrete-action tasks](https://github.com/chainer/chainer/tree/master/examples/reinforcement_learning)
* [DDPG on continuous-action tasks](https://github.com/chainer/chainer/tree/master/examples/reinforcement_learning)
* [ChainerRL examples: more examples for OpenAI Gym and Arcade Learning environments](https://github.com/chainer/chainerrl/tree/master/examples)

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