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Proof-of-concept SEER taught over eight days using 512 GPUs Katyanna Quach Sat 6 Mar 2021 // 08:39 UTC Share Copy Facebook has trained its most advanced semi-supervised computer vision system yet on a dataset of a billion public images taken from Instagram, its other social network. Known as SEER, short for SElf-supERvised, this massive convolutional neural network contains over a billion parameters. If you show it images of things, it will describe in words what it recognizes: a bicycle, a banana, a red-and-blue striped golfing umbrella, and so on. While its capabilities aren t all that novel, the way it was trained differs from the techniques used to teach other types of computer vision models. Essentially, SEER partly taught itself using an approach called self-supervision.

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