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https://github.com/mitmul/chainer-handson
CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/
https://github.com/mitmul/chainer-handson
chainer deep-learning hands-on neural-network
Last synced: about 2 months ago
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CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/
- Host: GitHub
- URL: https://github.com/mitmul/chainer-handson
- Owner: mitmul
- Created: 2017-03-27T11:40:11.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-01-15T01:57:01.000Z (over 5 years ago)
- Last Synced: 2024-07-08T15:43:10.108Z (2 months ago)
- Topics: chainer, deep-learning, hands-on, neural-network
- Language: Jupyter Notebook
- Homepage:
- Size: 23.8 MB
- Stars: 87
- Watchers: 6
- Forks: 21
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/
# Chainer Notebooks
See here:
https://github.com/mitmul/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)# chainer-handson
[English version](README_en.md)
Chainerビギナーズハンズオン資料
## [0. さくら高火力コンピューティングサーバ上での環境構築](http://bit.ly/chainer-handson-vol1)
## [1. 学習ループを書いてみよう](https://github.com/mitmul/chainer-handson/blob/master/1-Write-the-training-loop_ja.ipynb)
## [2. Trainerを使ってみよう](https://github.com/mitmul/chainer-handson/blob/master/2-Try-Trainer-class_ja.ipynb)
## [3. 新しいネットワークを書いてみよう](https://github.com/mitmul/chainer-handson/blob/master/3-Write-your-own-network_ja.ipynb)
## [4. データセットクラスを書いてみよう](https://github.com/mitmul/chainer-handson/blob/master/4-Write-your-own-dataset-class_ja.ipynb)