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Apr, 2016
连接残差学习、循环神经网络和视觉皮层之间的差距
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
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Qianli Liao, Tomaso Poggio
TL;DR
研究深度残差网络（ResNet）、循环神经网络（RNN）和灵长类视觉皮层之间的关系。作者提出了一种将浅层RNN与ResNet进行结合以及一种基于RNN的新型神经网络架构，并通过对CIFAR-10和ImageNet数据集的测试证明了其有效性。
Abstract
We discuss relations between
residual networks
(ResNet),
recurrent neural networks
(RNNs) and the
primate visual cortex
. We begin with the
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