Deep learning is a subset of machine learning that uses neural networks with many layers (hence "deep") to model complex patterns in data. These networks automatically learn to extract features and representations from large datasets, often used for tasks like image recognition, natural language processing, and autonomous driving. Popular architectures include Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).