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We examine the performance profile of Convolutional Neural Network (CNN) training on the current generation of NVIDIA Graphics Processing Units (GPUs). We introduce two new Fast Fourier Transform convolution implementations: one based on NVIDIA’s cuFFT library, and another based on a Facebook authored FFT implementation,fbfft, that provides significant… (More)

- Mark Tygert, Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam
- Neural Computation
- 2016

A complex-valued convolutional network (convnet) implements the repeated application of the following composition of three operations, recursively applying the composition to an input vector of nonnegative real numbers: (1) convolution with complex-valued vectors, followed by (2) taking the absolute value of every entry of the resulting vectors, followed by… (More)

- Joan Bruna, Soumith Chintala, Yann LeCun, Serkan Piantino, Arthur Szlam, Mark Tygert
- ArXiv
- 2015

Abstract: A complex-valued convolutional network (convnet) implements the repeated application of the following composition of three operations, recursively applying the composition to an input vector of nonnegative real numbers: (1) convolution with complex-valued vectors followed by (2) taking the absolute value of every entry of the resulting vectors… (More)

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