Department Google Brain. In the summer of the New York Times reported in detail

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Hinton proposed the concept of deep belief network in  making it possible to train deep neural networks and deep learning became synonymous with neural network algorithms. Google had a mysterious laboratory at the time Google X which specialized in cuttingedge projects such as intelligent driving and augmented reality. These projects were often related to artificial neural networks. In  Stanford University artificial intelligence professor Andrew Ng joined Google X hoping to promote his neural network research. Capability model and learning improvement of Bside product managers .

The first challenge faced by Bside product managers is how to correc Armenia WhatsApp Number tly analyze and diagnose business problems. This is also the most difficult part. Product design knowledge is basically not helpful for this part of the work. If you want to do a good job in business analysis and diagnosis you must have a solid... View details> However even at Google few people realized the changes that neural networks could bring. Ng who had hit the wall many times met Jeff Dean. The two parties hit it off and quickly turned some research into results.



This collaborative project eventually became an independent project.  the Kitten Paper collaborated by Andrew Ng and Jeff Dean in which they used  computers to form a large neural network system with billion connections. The system learned the concept of cat from million images from YouTube and found images containing cats. This shocked and inspired scientists at Google. Neural networks teach themselves to recognize images of cats Source New York Times However Ng's method was not the most efficient at the time. In the ImageNet image recognition competition that fall the trio led by Hinton won first place using the AlexNet deep convolutional neural network. Their score was  higher than the second place.