About this document
Backpropagation Analysis by Fazlay Rabbi by Mister007jh is a document available to read on EtoBox.
1) The document describes backpropagation to update weights and biases over two iterations to minimize error in a neural network. 2) Input values are normalized from 0 to 1 and fed through the network to calculate outputs. Error is computed between outputs and targets. 3) In each iteration, weights and biases are adjusted in the backward pass based on their effect on reducing the total error.
- Author
- Mister007jh
- Language
- EN