Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are interconnected fields. AI is the broad concept of creating intelligent machines, while ML is a subset that focuses on enabling machines to learn from data.

DL, in turn, is a specialized form of ML that involves neural networks inspired by the human brain. Together, they form a cohesive ecosystem where AI sets the stage, ML facilitates learning from experiences, and DL enhances this process by mimicking intricate neural patterns.

This collaborative relationship leads to the development of intelligent systems capable of handling complex tasks and improving their performance over time.