Biological and computer vision
The book is devoted to the development of artificial intelligence in computer vision and combines approaches that allow us to consider this topic at the intersection of biology and mathematical modeling. In the first part of the book, the biological foundations of vision are considered: the reader gets acquainted with various aspects of visual perception and learns what structures of neurons provide it, what processes occur in the brain when recognizing images. The second part presents various structures of mathematical models - neural networks, and the principles of their operation. In particular, deep convolutional neural networks, machine learning and generative adversarial networks are affected. The last chapter is devoted to the study of the phenomenon of consciousness itself. The publication is intended for a wide audience interested in artificial intelligence and computer vision, in particular, how machines are taught to see and interpret the visual world.
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