Deep Learning with R Cookbook

Implementing a single-layer neural network

An artificial neural network is a network of computing entities that can perform various tasks, such as regression, classification, clustering, and feature extraction. They are inspired by biological neural networks in the human brain. The most fundamental unit of a neural network is called a neuron/perceptron. A neuron is a simple computing unit that takes in a set of inputs and applies a function to these inputs in order to produce output.

The following diagram shows a simple neuron:

In 1957, Frank Rosenblatt proposed a classical perceptron model in which he associated weight with each input. He ...