About this document
Neural Network Learning Techniques by AhmedIsmaeil is a document available to read on EtoBox.
The document discusses backpropagation and multi-layer neural networks. It covers: - Backpropagation is an algorithm for training multi-layer neural networks by calculating error gradients for each layer and updating weights. - Multi-layer neural networks can have an input layer, one or more hidden layers, and an output layer. Hidden units allow for more complex partitioning of the input space. - Training involves calculating error signals for the output layer using the delta rule, then propagating these
- Author
- AhmedIsmaeil
- Language
- EN