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arXiv · 1211.5590

Theano: new features and speed improvements

Frédéric Bastien·Pascal Lamblin·Razvan Pascanu·James Bergstra·Ian Goodfellow·Arnaud Bergeron·Nicolas Bouchard·David Warde-Farley·Yoshua Bengio
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Abstract

Theano is a linear algebra compiler that optimizes a user's symbolically-specified mathematical computations to produce efficient low-level implementations. In this paper, we present new features and efficiency improvements to Theano, and benchmarks demonstrating Theano's performance relative to Torch7, a recently introduced machine learning library, and to RNNLM, a C++ library targeted at recurrent neural networks.

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Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra, Ian Goodfellow, Arnaud Bergeron, Nicolas Bouchard, David Warde-Farley, Yoshua Bengio. 2012-11-23. Theano: new features and speed improvements. https://arxiv.org/abs/1211.5590

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