Chainer: a Next-Generation Open Source Framework for Deep Learning

Workshop on Machine Learning System in NIPS 2015

By : Seiya Tokui, Kenta Oono, Shohei Hido, Justin Clayton


Software frameworks for neural networks play key roles in the development and
application of deep learning methods. However, as new types of deep learning
models are developed, existing frameworks designed for convolutional neural networks are becoming less useful. In this paper, we introduce Chainer, a Pythonbased, standalone open source framework for deep learning models. Chainer provides a flexible, intuitive, and high performance means of implementing a full
range of deep learning models, including state-of-the-art models such as recurrent
neural networks and variational autoencoders.

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