Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning that form the foundation of deep learning algorithms. Their name and structure are inspired by the human brain, and they mimic the way biological neurons communicate with one another.
Artificial neural networks (ANNs) are made up of node layers, each of which has an input layer, one or more hidden layers, and an output layer. Each node, or artificial neuron, is linked to another and has its own weight and threshold.