About this document
Neural Network Backpropagation Guide by ripudaman is a document available to read on EtoBox.
This document provides guidance on implementing the backpropagation algorithm for a neural network. It explains that the derivative of the error function with respect to the weights can be constructed from the derivatives of the network outputs with respect to the inputs and neurons. It also describes handling two cases for the derivative of the output with respect to the weights, depending on whether the weight is directly connected to the neuron or further downstream.
- Author
- ripudaman
- Language
- EN