Deep Learning
Deep learning is a specialized subfield of machine learning that uses multi-layered neural networks (often called "deep" neural networks) to learn and represent complex patterns in large datasets. These models excel at tasks involving images, audio, text, sensor data, and other unstructured information because the layered architecture automatically extracts increasingly abstract features as data moves through the network.
Why it Matters:
It powers cutting-edge technologies such as image recognition, voice assistants, autonomous vehicles, and large language models like GPT and Gemini.
QAT Global’s software development teams can leverage deep learning for projects that require intelligent data processing, such as computer vision, natural language interfaces, and advanced analytics, enabling enterprises to build more intelligent systems without expanding in-house research teams.
Explore AI Glossary Categories
