发行时间：0001.01.01
总页数：9
编辑：
综保科技
摘要：
Deep Residual Learning for Image Recognition
Kaiming He Xiangyu Zhang Shaoqing Ren Microsoft Research
{kahe, v-xiangz, v-shren, jiansun}@microsoft.com
Jian Sun
training error (%)
Abstract
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of le...
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