CNN: CNN
In kmezhoud/papSmear: Cervical Smear Cell Predictor
Description
Usage
Details
Author(s)
Description
Trained Convolution Neuronal Network on images of unique cervix cells
The model is build with mxnet package using 2 convolution and 2 fully connected layers
Usage
1
Details
90 rounds, 20 images per round, 7 folders that countain 7 cells classes
Author(s)
Karim Mezhoud kmezhoud@gmail.com
kmezhoud/papSmear documentation built on May 25, 2019, 8:32 p.m.
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Description Usage Details Author(s)
Description
Trained Convolution Neuronal Network on images of unique cervix cells The model is build with mxnet package using 2 convolution and 2 fully connected layers
Usage
1 |
Details
90 rounds, 20 images per round, 7 folders that countain 7 cells classes
Author(s)
Karim Mezhoud kmezhoud@gmail.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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