Dropout (ImageNet)
University of TorontoImage classification
Dropout (ImageNet) is a image classification model from University of Toronto released in 2012.
About Dropout (ImageNet)
Deep neural nets with a large number of parameters are very powerful machine learning systems. However, overfitting is a serious problem in such networks. Large networks are also slow to use, making it difficult to deal with overfitting by combining
Details
- Provider
- University of Toronto
- Task
- Image classification
- Released
- 2012-06-03
- Open weights
- No