BriefGPT.xyz
Dec, 2018
深度卷积网络中的反馈对齐
Feedback alignment in deep convolutional networks
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Theodore H. Moskovitz, Ashok Litwin-Kumar, L. F. Abbott
TL;DR
研究深度人工神经网络中的反向传播学习算法与大脑神经元突触可塑性规律的类比,介绍了不依赖于对称前向和后向突触权重的算法,提出通过加强权重符号一致性的反馈对准法的修改,可以实现与反向传播法相当的性能。这些研究结果表明,促进前向和反馈权重对准的机制对于深度网络的学习是至关重要的。
Abstract
Ongoing studies have identified similarities between
neural representations
in biological networks and in deep artificial neural networks. This has led to renewed interest in developing analogies between the
backpropaga
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