Deep learning is a subset of machine learning that uses neural networks with many layers to automatically learn hierarchical representations of data. Instead of hand-crafting features, deep learning models discover patterns directly from raw inputs — pixels for images, words for text, waveforms for audio. It powers breakthroughs in image recognition, speech synthesis, language translation, and autonomous driving. The trade-off: deep learning models require large datasets and significant computing power.