How to create a neuronal network ?

A neural network, often referred to as an artificial neural network (ANN) or simply a "neural network," is a computational model inspired by the structure and function of the human brain. It consists of interconnected nodes, or "neurons," organized into layers, typically an input layer, one or more hidden layers, and an output layer. Each neuron processes information, applies mathematical operations to its inputs, and passes the result to the neurons in the subsequent layer. These connections have associated weights that are learned through training. Neural networks are used for a wide range of machine learning tasks, including pattern recognition, classification, regression, and more, making them a fundamental technology in modern artificial intelligence and deep learning.