Resurrection of Neural Networks

The renewed enthusiasm for neural networks in the 1970s was largely based on a computational means of altering the weights of network connections by a mathematical feedback technique called “back propagation.” This advance introduced a way of continuously modifying the weights of network connections based on feedback from the network outputs. Enthusiasm for this approach continues unabated today because, at least in part, this is what brains seem to be doing.