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Unsupervised High-level Feature Learner

GoogleImage classification

Unsupervised High-level Feature Learner is a frontier-class image classification model published by Google in 2012 featuring 1000000000.0 parameters.

About Unsupervised High-level Feature Learner

We consider the problem of building high-level, class-specific feature detectors from only unlabeled data. For example, is it possible to learn a face detector using only unlabeled images using unlabeled images? To answer this, we train a 9-layered l

Details

Provider
Google
Task
Image classification
Parameters
1000000000.0
Released
2012-07-12
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