(2015. 12) Residual Network
published in 2015. 12
Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun
Simple Summary
Present a residual learning framework to ease the training of networks that are substantially deeper than those used previously.
Deeper networks experience a degradation problem
152 layers and 3.57 error rate.
No additional parameters or computational complexity are introduced by residuals nets.
Residual Mapping
F(x) = H(x) - x
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