Learning Representations by Back-propagating Errors

These are my notes on paper Learning representations by back-propagating errors by David E. Rumelhart, Geoffrey E. Hinton & Ronald J. Williams.

This is the paper that described the pivotal algorithm Backpropagation, which is used to train neural networks.