In this code i use Convolutional Neural Network (CNN) architecture as a feature extractor and Support Vector Machine (SVM) as a classifier while the SVM optimized with Artificial Bee Colony which is one of the metaheuristic optimizer. This code, developed using Pytorch, sklearn, and MealPy which is a library for the metaheuristic optimizer
-
Notifications
You must be signed in to change notification settings - Fork 0
DickyAdi/ResNeXt50-SVM-ABC
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Using CNN (ResNeXt-50) as a feature extractor and SVM as a classifier optimized with Artificial Bee Colony metaheuristic optimizer
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published