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But he's also known for picking low hanging fruit. (He took one of the main ideas/tools in classical computer vision, namely convolutions, and sold a cheaper version of it to the neural networks community, namely one without the FFT steps).
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convolutions -> convolution based pattern recognition, to be more precise



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