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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Implementing Neural Networks Efficiently
verfasst von : Ronan Collobert, Koray Kavukcuoglu, Clément Farabet
Erschienen in: Neural Networks: Tricks of the Trade
Verlag: Springer Berlin Heidelberg
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Neural networks and machine learning algorithms in general require a flexible environment where new algorithm prototypes and experiments can be set up as quickly as possible with best possible computational performance. To that end, we provide a new framework called
Torch7
, that is especially suited to achieve both of these competing goals.
Torch7
is a versatile numeric computing framework and machine learning library that extends a very lightweight and powerful programming language Lua. Its goal is to provide a flexible environment to design, train and deploy learning machines. Flexibility is obtained via Lua, an extremely lightweight scripting language. High performance is obtained via efficient OpenMP/SSE and CUDA implementations of low-level numeric routines.
Torch7
can also easily be interfaced to third-party software thanks to Lua’s light C interface.