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AI & Machine Learning · Foundational

Deep Learning (DL)

A subset of machine learning that uses multi-layer neural networks to learn hierarchical representations directly from raw data.

Definition

Deep learning stacks many layers of artificial neurons so that early layers learn simple features and deeper layers learn complex abstractions. It excels with unstructured data such as images, audio and text, but typically needs large datasets and GPU acceleration. Transformers, CNNs and RNNs are deep learning architectures.

Example

An image classifier that learns edges, then shapes, then whole objects across its layers is a deep learning model.

Exam tip

Deep learning reduces the need for manual feature engineering but increases data and compute requirements.

Don't confuse it with

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