About this document
Overview of Multilayer Feedforward Networks by debmatra is a document available to read on EtoBox.
A multilayer feed-forward neural network consists of an input layer, one or more hidden layers, and an output layer. Information flows from the input layer to the output layer in a forward direction. During training, a backpropagation algorithm is used to calculate errors and update weights and biases to minimize errors between predicted and actual outputs. The network learns through iterative processing of training data using gradient descent.
- Author
- debmatra
- Language
- EN