Artificial Intelligence in Computer Vision
summary
Covers how machines learn to understand images using convolutional neural networks, starting from CNN fundamentals through practical tips to applying state-of-the-art architectures. Explains why new layers and concepts are introduced and gives examples of solving complex vision tasks even on a laptop by improving both hardware and algorithmic approaches.
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chapters (11)
- 0:00AI in computer vision
- 1:27Sci-fi vs reality
- 6:05CNN basics
- 10:41Building glasses classifier
- 22:39AI birth via ML
- 26:16Modern neural nets & optimization
- 28:01Training with limited data
- 31:10Face similarity detection
- 34:46Live face recognition demo
- 37:59AI ethics in CV
- 39:03Summary & Q&A
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