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cs.LG2020
Deep Neural Networks with Short Circuits for Improved Gradient Learning
Ming Yan, Xueli Xiao, Joey Tianyi Zhou +1
Deep neural networks have achieved great success both in computer vision and natural language processing tasks. However, mostly state-of-art methods highly rely on external trainin…
cs.LG2020★ 13 cited
Gradient Amplification: An efficient way to train deep neural networks
Sunitha Basodi, Chunyan Ji, Haiping Zhang +1
Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address the…