Papers › Chainer: a Next-Generation Open Source Framework for Deep Learning
Chainer: a Next-Generation Open Source Framework for Deep Learning
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 Python based, 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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