Many of Quoc's pals had trouble identifying paper shredders when he showed them pictures of the machines, he said. "I spent a lot of thoughts on it and couldn't do it." It started with a GIF: Image recognition paves way for greater things Learning "how to engineer features to recognize that that's a shredder – that's very complicated," he explained. Le is that the software has learned to pick out features in things like paper shredders that people can't easily spot – you've seen one shredder, you've seen them all, practically. After adding successive analysis layers, different branches of the system can develop detection methods for faces, rocking chairs, computers, and so on. Google's deep-learning tech works in a hierarchical way, so the bottom-most layer of the neural network can detect changes in color in an image's pixels, and then the layer above may be able to use that to recognize certain types of edges.
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