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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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Bastien et al. (Fri,) studied this question.
www.synapsesocial.com/papers/6a07122872f0218126582ff1 — DOI: https://doi.org/10.48550/arxiv.1211.5590
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
Université de Montréal
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