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Machine Learning on GPUs using Torch7

An introduction to GPU computing from the machine learning perspective. I presented a survey of three different libraries: Theano, Torch, and Tensorflow. The first two libraries have backends both for CPUs and GPUs. TensorFlow has a more flexible backend, and also allows distributed computing on clusters. The talk also included a discussion about throughput and arithmetic intensity, inspired by Adam Coates lecture at the Deep Learning Summer School 2015.

Talk, Chalmers GPU Computing Workshop

Olof Mogren, PhD, RISE Research institutes of Sweden