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Implementing Neural Networks Efficiently Ronan Collobert1 , Koray Kavukcuoglu2 , and Cl´ement Farabet3,4 1 Idiap Research Institute Martigny, Switzerland
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Document Date: 2012-12-09 08:52:35


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Switzerland 2 NEC Laboratories / USA 3 Courant / Intel / /

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C TH Library / Courant Institute of Mathematical Sciences New York University / C library / TH library / Tensor library / The Torch7 Tensor library / C. This library / /

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matrix-matrix products / machine learning algorithms / commonly used algorithms / final system/product / neural networks / numerical computing environment / matrix-vector products / parallel processing / mini-batch and stochastic gradient descent algorithms / convolutional networks / unsupervised learning algorithms / smallscale applications / neural network / image processing package / image processing / versatile numeric computing framework / computing / numerical algorithm / numerical algorithms / gradient descent algorithms / learning algorithms / /

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Linux / Android / Microsoft Windows / /

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Courant Institute / New York University / New York / /

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BLAS LAPACK FFTW SSE / /

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Torch7 / /

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New York / /

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functional programming / object-oriented programming / virtual machine / speech recognition / machine learning algorithms / Training Algorithms / ANSI C / Linux / API / second-order gradient descent algorithms / machine learning / Lua / Android / image processing / neural network / mini-batch and stochastic gradient descent algorithms / numerical algorithm / unsupervised learning algorithms / parallel processing / /

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