MNIST inference code
We already learned how to write training code in chainer, the last task is to use this trained model to inference (predict) the test input MNIST image. Inferenc...
Month: March 2017
Chainer family
[Updated on May 31: Add detail description for ChainerCV & ChainerMN] Recently several sub-libraries for Chainer are released, ChainerRL RL: Reinforcement L...
Chainer version 2 – updated part
Chainer version 2 is planned to be released in Apr 2017. Pre-release version is already available, install by this command The biggest change is that cupy (Roug...
Writing organized, reusable, clean training code using Trainer module
Training code abstraction with Trainer Until now, I was implementing the training code in “primitive” way to explain what kind of operations are going on in dee...
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...
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...