What is a neural network?

A neural network is a computational model that is inspired by the structure and functioning of the human brain. This approach mimics how neurons interact, utilizing layers of interconnected nodes to process data. Each node in a neural network functions similarly to a neuron, receiving input, processing it through an activation function, and passing the output to the next layer of nodes.

This design enables neural networks to learn from data through a process known as training, where the model adjusts the weights of the connections between nodes to minimize error and improve its predictions. Neural networks are particularly effective in handling complex tasks like image and speech recognition, where traditional programming methods might struggle.

Understanding this concept is crucial for grasping how various applications of artificial intelligence leverage neural networks to perform tasks that require a level of cognitive function, thus demonstrating the model’s primary significance in the field of AI.