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soumith convnet-benchmark

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soumith/convnet-benchmarks

#artificialintelligenceApr-26-2016, 14:25:32 GMT

A summary is provided in the section below. I pick some popular imagenet models, and I clock the time for a full forward backward pass. I ignored dropout and softmax layers. The CuDNN benchmarks are done using Torch bindings. One can also do the same via Caffe bindings or bindings of any other library.

artificial intelligence, machine learning, soumith convnet-benchmark, (1 more...)

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Technology: Information Technology > Artificial Intelligence > Machine Learning (0.43)

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