Back Propagation (Intuitively)

Back Propagation is one of the most important topics of Neural Net Training. It is the process of tuning the weights of neural network and is based on the rate of error of previous epoch. If we tune the weights properly then we can ensure the low error rates.

Back propagation started to create a buzz after a paper by David Rumelhart, Geoffrey Hinton, and Ronald Williams was published in 1986. It is the short form of "back propagation of errors".This led to a revolution because the neural net pro...