Introductory Lectures:
- Convolutional Neural Networks for Visual Recognition (Stanford CS231n)
- Course website
- A great way to start with deep learning. The course focuses on convolutional neural networks and computer vision, but also gives an overview on recurrent networks and reinforcement learning.
- 10 лекций по статистическому и структурному распознаванию образов (М.И. Шлезингер, В. Главач)
- Multiple View Geometry in Computer Vision (Richard Hartley, Andrew Zisserman)
GitHub - Computer Vision Fundamentals
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A collection of Computer Vision fundamentals and useful python notebooks by Diego Inácio
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