Deep learning utilizes artificial neural networks with multiple layers to process and learn from vast amounts of data. These networks automatically discover intricate patterns and representations without manual feature engineering. Convolutional neural networks excel at image recognition tasks, while recurrent neural networks handle sequential data like text and speech. Popular frameworks include TensorFlow, PyTorch, and Keras. Deep learning has revolutionized computer vision, natural language processing, and speech recognition applications.