Design patterns for defining model
[Update 2017.06.11] Add Chainer v2 code Machine learning consists of training phase and predict/inference phase, and what model need to calculate is diffe...
Author: corochann
Refactoring MNIST training
Previous section, we learned minimum implementation (train_mnist_1_minimum.py) for the training code for MNIST. Now, let’s refactor the codes. See train_mn...
MNIST training with Multi Layer Perceptron
[Update 2017.06.11] Add chainer v2 code. Training MNIST You already studied basics of Chainer and MNIST dataset. Now we can proceed to the MNIST classific...
MNIST dataset introduction
MNIST dataset MNIST (Mixed National Institute of Standards and Technology) database is dataset for handwritten digits, distributed by Yann Lecun’s THE...
Why Chainer?
I will list up good points of Chainer as an opinion from one Chainer enthusiast. Features Easy environment setup Environment setup is easy, execute one command&...
Chainer basic module introduction 2
[Update 2017.06.11] Update This post is just a copy of chainer_module2.ipynb on github, you can execute interactively using jupyter notebook. Advanced memo...
Chainer basic module introduction
[Update 2017.06.11] Add Chainer v2 code. This post is just a copy of chainer_module1.ipynb on github, you can execute interactively using jupyter note...
Chainer modules
Comparing with caffe If you are using caffe, it is easy to get accustomed to chainer modules. Several variable’s functionality is similar and you can see b...
English summary of “Chainer Advent Calendar 2016”
I will summarize Chainer Advent Calendar 2016, to introduce what kind of deep learning projects are going on in Japan. Chainer Deep learning framework, chainer,...
python print, string manipulation summary
Version difference python 3.x: print() is function and not a keyword anymore. () must be used python 2.x: print is considered as a keyw...