https://github.com/mitmul/chainer-notebooks

Jupyter notebooks for Chainer hands-on
https://github.com/mitmul/chainer-notebooks

chainer cnn convolutional-neural-networks deep-learning dqn jupyter-notebook language-model python rnn word2vec

Last synced: about 1 month ago
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Jupyter notebooks for Chainer hands-on

• Host: GitHub
• URL: https://github.com/mitmul/chainer-notebooks
• Owner: mitmul
• License: mit
• Created: 2017-09-22T04:59:36.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2017-10-11T17:10:13.000Z (almost 7 years ago)
• Last Synced: 2024-07-08T15:43:10.701Z (2 months ago)
• Topics: chainer, cnn, convolutional-neural-networks, deep-learning, dqn, jupyter-notebook, language-model, python, rnn, word2vec
• Language: Jupyter Notebook
• Homepage:
• Size: 1.41 MB
• Stars: 24
• Watchers: 2
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Chainer-Notebooks

## Requirements

- Chainer>=3.0.0rc1

- CuPy>=2.0.0rc1

## Contents

1. [How to write a training loop in Chainer](https://github.com/mitmul/DSVM-Chainer-Notebooks/blob/master/1_training_loop_in_chainer.ipynb)

2. [Let’s try using the Trainer feature](https://github.com/mitmul/DSVM-Chainer-Notebooks/blob/master/2_how_to_use_trainer.ipynb)

3. [How to write ConvNet models in Chainer](https://github.com/mitmul/DSVM-Chainer-Notebooks/blob/master/3_write_convnet_in_chainer.ipynb)

4. [Write an RNN Language Model](https://github.com/mitmul/DSVM-Chainer-Notebooks/blob/master/4_RNN-language-model.ipynb)

5. [Word2Vec: Obtain word embeddings](https://github.com/mitmul/DSVM-Chainer-Notebooks/blob/master/5_word2vec.ipynb)

6. [ChainerRL Quickstart Guide](https://github.com/mitmul/DSVM-Chainer-Notebooks/blob/master/6_dqn_cartpole.ipynb)

7. [Train a ConvNet using multiple GPUs](https://github.com/mitmul/DSVM-Chainer-Notebooks/blob/master/7_multiple_gpus.ipynb)

8. [Chainer for Theano Users](https://github.com/mitmul/chainer-notebooks/blob/master/8_chainer-for-theano-users.ipynb)

9. [Vanilla LSTM with CuPy](https://github.com/mitmul/chainer-notebooks/blob/master/9_vanilla-LSTM-with-cupy.ipynb)