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Backpropagation Algorithm Overview by Jhumur Santra is a document available to read on EtoBox.

What is Backpropagation Algorithm Overview about?

The document describes the back propagation algorithm, which is used to train multilayer perceptrons. It works by calculating the gradient of the loss function with respect to the weights in the network using the chain rule. This gradient is then used to update the weights through an iterative process. The algorithm solves the credit assignment problem by calculating error signals for hidden nodes based on errors of downstream nodes.

Author

Jhumur Santra

Language

EN