layer tanh network
Reviews: Direct Feedback Alignment Provides Learning in Deep Neural Networks
This paper demonstrates the surprising result that error information need not flow backward through several layers to enable good learning in a deep network. The scheme proposed in the paper is definitely biologically plausible (which is not to say that the brain necessarily uses this scheme). The paper could be strengthened through a more complete analysis of the learned filters in lower layers. Do they still visually resemble the filters produced through backpropagation? In particular, it seems important to understand why DFA attains the same training error as BP, but worse test error (particularly on CIFAR).