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