Chainer class introduction

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Chainer is a library for deep learning. You can implement current trend network e.g. CNN (Convolutional Neural Network), RNN (Recurrent Neural Network) etc. Chainer official document * The post is written in 2016 July, with Chainer version 1.10, but Chainer is still in active development and some of the functionality specification may change in the future. Variable, functions, links and Chain At first, please read Introduction to Chainer. To summarize, input – output relationship of deep neural network is maintained by computational graph internally, which is constructed using Variable, functions, links and Chain. Once deep neural network is constructed, forward/backward propagation can be executed for training. VariableVariable will be used […]

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