Backpropagation is one of the several ways in which an artificial neural network (ANN) can be trained. It is a supervised training scheme, which means, it learns from labeled training data. In simple terms, BackProp is like “learning from mistakes. “The supervisor corrects the ANN whenever it makes mistakes.” Initially, all the edge weights are randomly assigned. For every input in the training dataset, the ANN is activated, and its output is observed. This output…