How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation

29 Jul 2014Yoshua Bengio

We propose to exploit {\em reconstruction} as a layer-local training signal for deep learning. Reconstructions can be propagated in a form of target propagation playing a role similar to back-propagation but helping to reduce the reliance on derivatives in order to perform credit assignment across many levels of possibly strong non-linearities (which is difficult for back-propagation)... (read more)

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