How does deep learning differ from traditional machine learning algorithms?

Deep learning is a subset of machine learning that uses neural networks with multiple layers (deep architectures) to automatically learn representations of data at multiple levels of abstraction. Unlike traditional machine learning algorithms, which require manual feature engineering, deep learning algorithms can automatically extract features from raw data, making them well-suited for tasks such as image recognition, natural language processing, and speech recognition.