Machine Learning in Chainer Python – Crissman Loomis | ODSC East 2018
When choosing a framework for working on neural networks, it is important to choose a framework that is flexible and allows for customization. Chainer is a neural network framework written almost entirely in Python. Chainer was the first framework to provide the “define-by-run” neural network definition, which allows for dynamic changes in the network.
This video covers the basics of how to define a neural network, data formatting and, augmentation, using GPUs to reduce calculation time, distributing processing over multiple CPUs or GPUs, or multiple machines, how to process images using convnets, how to do reinforcement learning, and sources for finding other neural network models, including GANs, RNNs, RLs, and others.
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