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High Performance Binarized Neural Networks trained on the ImageNet Classification Task

11 April 2016
Xundong Wu
    MQ
ArXiv (abs)PDFHTML
Abstract

We trained Binarized Neural Networks (BNNs) on the high resolution ImageNet LSVRC-2102 dataset classification task and achieved a good performance. With a moderate size network of 10 layers, we obtained top-5 classification accuracy rate of 81 percent on validation set which is much better than previous published results. We expect training networks of a much better performance through increase network depth would be straight forward by following our current strategies. A detailed discussion on strategies used in the network training is included as well as preliminary analysis.

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