ImageNet, every mention

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Verbatim, from the transcripts: the passages where ImageNet comes up

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▶ 47:32 David Rosenthal And the three of them are working with Jeff's deep neural network ideas and algorithms to create an entry for the famous ImageNet competition in computer science.
▶ 50:39 David Rosenthal They train it on these two off the shelf GTX five eighties, and this is how they achieve their deep neural network and do 40% better than any other entry in the image net competition.
▶ 1:42:55 Ben Gilbert It's almost like Google gave NVIDIA a secret that, hey, not only does this work in research like the ImageNet competition, but neural networks are valuable enough to us as a business to make a hundred plus million dollar investment in…

▶ 14:47 David Rosenthal And you've been paying attention to the ImageNet competition every year leading up to this?

▶ 8:21 David Rosenthal Who submitted the AlexNet algorithm to the ImageNet computer science competition.
▶ 8:27 David Rosenthal Now, ImageNet was a competition where you would look at a set of fourteen million images that had been hand-labeled with what the pictures were of, like of a strawberry, or a cat, or a dog, or whatever.
▶ 8:40 Ben Gilbert And David, you were telling me it's the largest ever use of Mechanical Turk up to that point was to label the ImageNet dataset?

▶ 43:07 David Rosenthal Their specialty is artificial intelligence and computer science starts working on an image classifying project that she calls image net.
▶ 43:25 David Rosenthal This is classifying image, ImageNet.
▶ 44:25 David Rosenthal So we'll do this annually, and anyone, any team can submit their algorithms against the ImageNet database, and they'll compete, like who can get the lowest error rate, like the most number of images, percentage of the images correct.

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