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This lecture provides a historical review of computer vision, starting with the evolution of computer power/cost, the development of neural networks, and key milestones such as the Perceptron model, Neocognitron, and Backpropagation learning. It also covers significant figures like Norbert Wiener, Alan Turing, and Larry Roberts, highlighting their contributions to the field.
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