Deep learning is a subset of artificial intelligence (AI) and machine learning (ML) that mimics the workings of the human brain through artificial neural networks. It enables computers to process data, recognize patterns, and make decisions with minimal human intervention. Deep learning models are designed to automatically extract features from raw data, making them highly effective in handling large, unstructured datasets. This makes deep learning ideal for complex tasks like image recognition, natural language processing, and speech synthesis.

Unlike traditional machine learning, deep learning does not rely on manual feature extraction. Instead, it uses multiple layers of neurons to learn data representations at different levels of abstraction. These layers help in building complex models that can achieve high accuracy in predictive tasks. Deep learning models improve as more data is fed into them, making them highly scalable for real-world applications. Industries like healthcare, finance, and autonomous driving rely heavily on deep learning solutions.