Backpropagation

From mystery to mastery: Decoding the engine behind Neural Networks.

The term backpropagation, short for “backward propagation of errors,” is a supervised learning algorithm used to minimize errors in predictions made by neural networks.

In principle, Backpropagation is a chain-rule application that can be used to compute gradients of loss functions in relation to model parameters.
The mechanism operates in two main …

backpropagation calculus deep learning neural networks