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Image classification

Level: Beginner

The explanation is being written.

Sources and connections are already here. The explanation will say what it is, what it is for and how to do it.

Timeline

2015ResNet: residual networks for image recognition (He et al.). source
2020ViT: a pure transformer for image recognition at scale (Dosovitskiy et al.). source

Sources

AIMA 4th ed., § 25.4 Verified 2026-11-09
He, Zhang, Ren, Sun — Deep Residual Learning for Image Recognition (2015) Verified 2026-11-09
Dosovitskiy et al. — An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT) (2020) Verified 2026-11-09