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> does not need labeled data It needed training on 1TB of labeled images in the first place. Arguably it can be used to transfer that knowledge to other tasks
by ogrisel 12y ago
> does not need labeled data
It needed training on 1TB of labeled images in the first place. Arguably it can be used to transfer that knowledge to other tasks with a much smaller amount of labeled samples but still requires supervision.
- blauwbilgorgel 12y agoGoogle trained a NN on unlabeled Youtube stills. It was able to detect/group/cluster pics of cats without ever seeing a label. This still needs supervision to teach the NN that whatever name it created for this cluster, us humans call this "cats". If the error rate gets low enough, a NN could start labeling pics. Finally, recent work has shown that running a dictionary through an image search engine can yield high quality labeled images automatically. Aside: Thank you for contributing to sklearn. Really feel like I am standing on the shoulders of giants when I use that library.