It aims to demonstrate that large-scale, commodity distributed systems can train huge deep neural networks effectively. For proof, the researchers created the world’s best photograph classifier, using 14 million images from ImageNet, an image database divided into 22,000 categories.
The system was demonstrated at Microsoft’s Faculty Summit in Redmond recently (video below), as Microsoft brought out several different breeds of dogs on stage and showed how the technology could automatically distinguish among them in real time, using computer vision and insights from large sets of data. The system was integrated into Cortana, Microsoft's digital assistant platform.
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