Papers › Theano-based Large-Scale Visual Recognition with Multiple GPUs

Theano-based Large-Scale Visual Recognition with Multiple GPUs

7 Dec 2014arXiv:1412.2302archive 2025-07-28

Weiguang Ding, Ruoyan Wang, Fei Mao, Graham Taylor

In this report, we describe a Theano-based AlexNet (Krizhevsky et al., 2012) implementation and its naive data parallelism on multiple GPUs. Our performance on 2 GPUs is comparable with the state-of-art Caffe library (Jia et al., 2014) run on 1 GPU. To the best of our knowledge, this is the first open-source Python-based AlexNet implementation to-date.

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uoguelph-mlrg/theano_alexnet officialmentioned in papermentioned on GitHub report

uoguelph-mlrg/theano_multi_gpu officialmentioned in papermentioned on GitHub report

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Object Recognition

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1x1 Convolution Convolution Dense Connections Dropout Grouped Convolution Local Response Normalization Max Pooling ReLU Softmax

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