Deep Learning
Machine learning built on neural networks with many layers — the approach behind almost every modern AI system.
Deep learning stacks many layers of simple mathematical units so that each layer learns a slightly more abstract representation than the one below it. Depth is what lets a model go from pixels to edges to shapes to ‘cat’ without anyone defining what an edge is. Every large language model and image generator in use today is deep learning.
In practice: A vision model’s first layers detect edges; its last layers detect faces — nobody programmed either step.
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