Visual Attention is All You Need: Introduction to Visual Transformers
summary
Introduces visual transformers (ViT) as an alternative to convolutional neural networks for computer vision, explaining how self-attention mechanisms are applied to image patches. Covers the core architecture and practical considerations for using transformer-based models in visual tasks.
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chapters (6)
- 0:00Start
- 4:23The Kelvin thermal Al analysis
- 18:24What are the Transformers? Mask?!
- 19:50What are the Transformers? How do they work?
- 21:52Hello world!
- 36:00Future of Vits Will they change the future of Computer Vision?
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