# Deep Learning

Deep learning is a form of machine learning that uses multi-layer neural networks to learn patterns from data.

## Why it matters

Deep learning powers many modern language, vision, speech, and recommendation systems, but its performance depends on data, objective, architecture, and evaluation. Teams usually consume deep learning through pretrained models rather than training a large network from scratch.

## Example

A document workflow uses a pretrained vision-language model to extract fields from varied invoice layouts, then validates totals with deterministic rules.

## FAQ

### What is Deep Learning in simple terms?

Deep learning is a form of machine learning that uses multi-layer neural networks to learn patterns from data.

### Why does Deep Learning matter for teams using AI?

Deep learning powers many modern language, vision, speech, and recommendation systems, but its performance depends on data, objective, architecture, and evaluation. Teams usually consume deep learning through pretrained models rather than training a large network from scratch.

### What is a practical example of Deep Learning?

A document workflow uses a pretrained vision-language model to extract fields from varied invoice layouts, then validates totals with deterministic rules.


Source: https://www.luffy.so/ai-glossary/deep-learning

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