Heterogeneous acceleration for CNN training with many integrated core

Abstract

Convolutional neural network (CNN) extracts features from big data by using the multilayer network structure. Due to the high effectiveness, CNN has achieved great successes in many fields such as computer vision and speech analysis. However, CNN training is quite challenging because computing the gradients through multiple layers is time consuming. In this… (More)

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Cite this paper

@article{Shan2017HeterogeneousAF, title={Heterogeneous acceleration for CNN training with many integrated core}, author={Lei Shan and Canqun Yang and Weixia Xu and Minxuan Zhang}, journal={2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)}, year={2017}, pages={1-6} }