Deep learning is a subset of machine learning that uses neural networks with multiple layers to model complex patterns in data. It excels in tasks like image recognition, natural language processing, and speech recognition by learning hierarchical representations.

Deep learning is a subset of artificial intelligence that leverages multi-layered neural networks to model complex patterns and relationships in data. By using architectures such as convolutional neural networks (CNNs) for image processing or recurrent neural networks (RNNs) for sequential data, it excels in tasks like image recognition, natural language processing, and speech synthesis. The key strength of deep learning lies in its ability to automatically learn hierarchical features from raw data, reducing the need for manual feature engineering. Trained on large datasets using optimization techniques like gradient descent, deep learning models require significant computational power but achieve state-of-the-art performance across various domains.