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Artificial Intelligence

What is Deep Learning?

Quick answer

A branch of machine learning that uses neural networks with many layers to learn patterns from large amounts of data.

Deep Learning, explained

The deep in deep learning refers to the number of layers in a neural network. Each layer transforms its input into a slightly more abstract representation. In an image model, early layers might detect edges, middle layers shapes, and later layers whole objects like faces or cars.

Deep learning took off in the early 2010s when large labeled datasets, faster GPUs, and better training techniques came together. It now underpins speech recognition, machine translation, computer vision, recommendation systems, and large language models. Deep learning models usually need substantial data and computing power, and their internal reasoning can be hard to interpret, which is why explainability remains an active research area.

Related terms

Explainable AI

Methods and tools that help people understand why an AI model produced a particular prediction or decision.

GPU

Graphics Processing Unit: a processor with thousands of small cores designed for parallel work, used for graphics and AI.

Machine Learning

A branch of AI in which computers learn patterns from data to make predictions or decisions without being explicitly programmed for each case.

Neural Network

A machine learning model made of layers of connected nodes, loosely inspired by the brain, that learns patterns by adjusting connection weights.

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