A subset of machine learning based on artificial neural networks with multiple layers, allowing it to extract higher-level features from raw input.
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.