Two Stage Feature Extraction (MNIST)
New York University (NYU)Image classification
Two Stage Feature Extraction (MNIST) is image classification model published by New York University (NYU) in 2009 featuring 258800.0 parameters.
About Two Stage Feature Extraction (MNIST)
In many recent object recognition systems, feature extraction stages are generally composed of a filter bank, a non-linear transformation, and some sort of feature pooling layer. Most systems use only one stage of feature extraction in which the filt
Details
- Provider
- New York University (NYU)
- Task
- Image classification
- Parameters
- 258800.0
- Released
- 2009-09-01
- Open weights
- No