Library release: visualize saliency map of deep neural network
Japanese is available at Qiita. From left: 1. Classification saliency map visualization of VGG16, CNN model. 2. iris dataset feature importance calculation of M...
Category: Chainer
Penn Tree Bank (PTB) dataset introduction
This post is based on the jupyter notebook ptb_dataset_introduction.ipynb uploaded on github. Penn Treebank dataset, known as PTB ...
Define your own trainer extensions in Chainer
So how to implement custom extensions for trainer in Chainer? There are mainly 3 approaches. Define function Use decorator, @chainer.training.extension.make_ext...
Predict code for Penn Bank Tree (ptb) dataset
Predict code is pretty much the same with Predict code for simple sequence dataset, so I won’t explain in detail. Code The code is on the github, predict_p...
Long Short Term Memory (LSTM) introduction
Long Short Term Memory Long short term memory is advanced version of RNN, which have “Cell” c to keep long term information. LSTM network Implementati...
Training LSTM model with Penn Bank Tree (ptb) dataset
This post mainly explains train_ptb.py, uploaded on github. We have already learned RNN and LSTM network architecture, let’s apply it t...
Chainer sklearn wrapper
If you are familiar with machine learning before deep learning becomes popular, you might have been using sklearn (scikit-learn), which is very popula...
Install Chainer
Once you have setup python environment, now we can install chainer. Nowadays it is important for deep learning library to use GPU to enhance its calculatio...
Setup python environment
※ This post is mainly just a summary/translation of the Japanese blog, データサイエンティストを目指す人のpython環境構築 2016 TL;DR; I recommend to install “anaconda” instead of...