Fractional Max-Pooling
University of WarwickImage classification
Developed by University of Warwick in 2014, Fractional Max-Pooling is a image classification model with 27000000.0 parameters.
About Fractional Max-Pooling
Convolutional networks almost always incorporate some form of spatial pooling, and very often it is alpha times alpha max-pooling with alpha=2. Max-pooling act on the hidden layers of the network, reducing their size by an integer multiplicative fact
Details
- Provider
- University of Warwick
- Task
- Image classification
- Parameters
- 27000000.0
- Released
- 2014-12-18