Learning representations by back-propagating errors

This paper introduced the backpropagation algorithm for training multi-layer neural networks. The algorithm solved the credit assignment problem by efficiently computing gradients through the chain rule, enabling the training of deep networks and marking the beginning of the neural network renaissance.