About this document
Characteristics of Artificial Neural Networks by Harry is a document available to read on EtoBox.
This document provides information about neural networks and perceptrons. It discusses how neural networks are modeled after biological neural systems and can learn from input/output examples. The key components of a neural network are an input layer, hidden layers, and an output layer. Perceptrons are the basic processing units of a neural network, and operate by taking a weighted sum of inputs and outputting 1 if the sum exceeds a threshold or -1 otherwise. The perceptron learning rule is described to upd
- Author
- Harry
- Language
- EN