Deep learning is a subset of machine learning that involves training artificial neural networks to learn from large amounts of data. Deep learning algorithms are designed to simulate the human brain’s ability to recognize patterns and make decisions based on them. The term “deep” refers to the fact that deep learning networks typically have many layers of interconnected nodes, or neurons, that are used to process and analyze data. Each layer performs a specific function, and the output of one layer is used as the input to the next layer. The goal of deep learning is to create a neural network that can accurately identify patterns and make predictions based on them.