residual learning1 [ResNet] He et al., 2015, Deep Residual Learning for Image Recognition # 세줄 요약 # We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth (evaluate residual nets with a depth of up to 152 layers). This result won the 1st place on the.. 2021. 10. 17. 이전 1 다음
