Deep learning is a branch of machine learning that uses neural networks with many interconnected layers to learn complex patterns from large amounts of data. Instead of relying heavily on manually defined rules or features, these networks progressively learn representations from the input itself. For example, a deep learning model trained on images can learn to recognize edges and shapes in early layers and increasingly complex objects in later layers.
Its strength is particularly evident in tasks involving unstructured or highly complex data, including image recognition, speech processing, language understanding, and generative AI. Training often requires substantial computational resources, with GPUs or specialized AI accelerators commonly used to process large datasets efficiently. Related concepts include machine learning, neural networks, generative AI, computer vision, and natural language processing.
