Implementing Neural Networks Efficiently

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.


Editor(s):
Montavon, Grégoire
Orr, Geneviève
Müller, Klaus-Robert
Published in:
Neural Networks: Tricks of the Trade, 537-557
Year:
2012
Publisher:
Springer
ISBN:
978-3-642-35288-1
Keywords:
Laboratories:




 Record created 2013-12-19, last modified 2018-10-01

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