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Status: Unchecked ×Keyword: identity mapping ×Clear all

3 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Identity Mappings in Deep Residual Networks

   He, Zhang, Ren and Sun · Lecture notes in computer science · 2016

   The paper analyses how signals propagate through residual networks, proposes a new residual unit that eases training and improves generalisation, and reports improved results on CIFAR-10, CIFAR-100 and ImageNet.

   Unchecked3 claims
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   1. UncheckedThe paper's analysis suggests signals can pass directly between any two residual blocks when skip connections are identity mappings and activation follows the addition.“In this paper, we analyze the propagation formulations behind the residual building blocks, which suggest that the forward and backward signals can be directly propagated from one block to any other block, when using identity mappings as the skip connections and after-addition activation.”
   2. UncheckedAblation experiments, where parts of the network are changed or removed, support the importance of identity mappings as skip connections in deep residual networks.“A series of ablation experiments support the importance of these identity mappings.”
   3. Unchecked“We report improved results using a 1001-layer ResNet on CIFAR-10 (4.62% error) and CIFAR-100, and a 200-layer ResNet on ImageNet.”