Definition

An artificial neural network is a system that is patterned similar to the working of neurons in the human brain and nervous system. ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain.

Types of Neural Networks

There are many types of artificial neural networks, each with their unique strengths. Some of the prominent types of neural networks are as follows:

• Radial Basis Function Neural Network
• Feedforward Neural Network
• Multilayer Perceptron
• Convolutional Neural Network
• Recurrent Neural Network
• Modular Neural Network
• Sequence-To-Sequence Models

As you see, there are multiple types of artificial neural networks that operate in different ways to achieve different outcomes. In all cases, they are designed in a way that is similar to how neurons in the brain work.