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Google has developed a virtual “neural network” that taught itself what a cat looks like by viewing images from YouTube. Developed at Google X, the research and development lab best known for Project Glass and self-driving cars, the neural network is a cluster of 1,000 computers with 16,000 cores between them. Google fed the cluster 200 x 200 pixel thumbnails taken from 10 million randomly selected YouTube videos and had it look for recurring features. Not only was its creation able to detect faces, but also “high-level concepts” such as cat faces and human bodies.
Google’s machine was not taught, or given any data on what a face, body, or cat looks like before it started its analysis. Once it had discovered a recurring object, the…
from The Verge - All Posts http://vrge.co/NHn4OB
