Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method

17 Nov 2017 Xu Sun Xuancheng Ren Shuming Ma Bingzhen Wei Wei Li Jingjing Xu Houfeng Wang Yi Zhang

We propose a simple yet effective technique to simplify the training and the resulting model of neural networks. In back propagation, only a small subset of the full gradient is computed to update the model parameters... (read more)

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