Noisy Student (L2)
Carnegie Mellon University (CMU)GoogleImage classification
The Noisy Student (L2) model is a frontier image classification model from Carnegie Mellon University (CMU),Google with 480000000.0 parameters.
About Noisy Student (L2)
We present Noisy Student Training, a semi-supervised learning approach that works well even when labeled data is abundant. Noisy Student Training achieves 88.4% top-1 accuracy on ImageNet, which is 2.0% better than the state-of-the-art model that req
Details
- Provider
- Carnegie Mellon University (CMU),Google
- Task
- Image classification
- Parameters
- 480000000.0
- Released
- 2019-11-11
- Open weights
- No