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Learning Representations by Back-propagating Errors (1986) (chsasank.github.io)
1 point by chsasank on Dec 14, 2020 | hide | past | favorite | 1 comment



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.




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