ResNeXt-101 (64×4d)
University of California San DiegoFacebookImage classificationOpen weights
The ResNeXt-101 (64×4d) model is an open-weights image classification model from University of California San Diego,Facebook with 83000000.0 parameters.
About ResNeXt-101 (64×4d)
We present a simple, highly modularized network architecture for image classification. Our network is constructed by repeating a building block that aggregates a set of transformations with the same topology. Our simple design results in a homogeneou
Details
- Provider
- University of California San Diego,Facebook
- Task
- Image classification
- Parameters
- 83000000.0
- Released
- 2016-11-16
- Open weights
- Yes