DenseNet-264
Tsinghua UniversityFacebook AI ResearchCornell UniversityImage classificationOpen weights
Developed by Tsinghua University,Facebook AI Research,Cornell University in 2016, DenseNet-264 is a image classification model with 34000000.0 parameters with openly available weights.
About DenseNet-264
Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output. In this paper, we embrace this o
Details
- Provider
- Tsinghua University,Facebook AI Research,Cornell University
- Task
- Image classification
- Parameters
- 34000000.0
- Released
- 2016-08-25
- Open weights
- Yes