What is a neural network?

A neural network (NN) is a computing system loosely inspired by the structure and function of the human brain.

It consists of interconnected nodes, called artificial neurons or units, organized in multiple layers. These neurons are inspired by the biological neurons found in the brain.

Neural networks are widely used in the field of machine learning. They provide a framework for various algorithms to process and analyze complex data. By using a neural network, algorithms can learn to perform tasks such as classification, regression, pattern recognition, and more.

The learning process in a neural network involves analyzing examples or data inputs and adjusting the strength of connections between neurons, known as weights. This adjustment is based on the patterns and relationships found in the input data, allowing the neural network to recognize and generalize from these patterns. This ability to “learn” from data without explicit instructions is known as “learning from examples” or “learning from data”.