What is Neural Network?

A neural network is a type of machine learning algorithm modeled after the structure and function of the human brain. It is composed of interconnected "neurons" that process information by receiving inputs, transforming them using mathematical operations, and passing on the result as an output. The connections between neurons can be adjusted through a process called training, which involves using input-output pairs to adjust the strengths of the connections and ultimately tune the behavior of the network to match the desired outcome.

Neural networks have proven to be very effective in a wide range of applications, including image and speech recognition, natural language processing, and decision making. They can learn and improve on their own, and they have the ability to handle complex and non-linear relationships in data, which makes them well suited to tasks where traditional algorithms may not work well.