Deep learning

Deep learning uses multilayered neural networks (DNNs) to automatically learn complex, hierarchical feature representations directly from massive datasets.

Deep learning (DL) is a subset of machine learning that utilizes artificial neural networks with multiple hidden layers (the 'deep' component) to model high-level data abstractions. This architecture allows the model to perform automatic feature extraction: it learns the optimal features (e.g., edges, then shapes, then objects) instead of requiring manual engineering. DL models power state-of-the-art AI across industries: Convolutional Neural Networks (CNNs) drive image recognition with near-human accuracy, while Transformer models are the foundation for Generative AI like large language models (LLMs) and chatbots (e.g., ChatGPT).

https://www.ibm.com/topics/deep-learning