A form of machine learning built on neural networks with many layers, each layer learning more abstract patterns from the output of the one before.
Deep Learning models stack many neural network layers and learn hierarchical representations directly from large datasets. The approach underlies most current work in computer vision, speech recognition, and natural language processing.
See also Neural Network, Computer Vision, Natural Language Processing, Large Language Model, Fine-Tuning and Model Inference.