Multi-Layer Perceptron (MLP) in artificial neural network

A Multi-Layer Perceptron (MLP) is a type of artificial neural network that consists of multiple layers of nodes (perceptrons). Unlike a single-layer perceptron, an MLP has one or more hidden layers between the input and output layers. Each node in a layer is connected to every node in the subsequent layer. Here’s a basic overview…

Perceptron in artificial neural network

A perceptron is one of the simplest forms of artificial neural networks. It’s a binary classifier that takes multiple binary inputs and produces a single binary output. Here’s how it works: