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Learning Representations by Back-propagating Errors (1986) (chsasank.github.io)
1 points by chsasank 2017 days ago
1 comments

This is the classic paper that rediscovered back-propagation. Conceptually, back propagation is quite simple and just is a repeated application of chain rule. However, results of applying backprop for multi layer neural networks have been spectacular. This paper reads like a very brief tutorial of deep learning.