Project for Computational intelligence and Deep Learning, AIDE course at University of Pisa. We constructed multiple models from the ground up, varying their complexity. We utilized various techniques, such as depthwise separable convolution, residual modules, and inception modules. Additionally, we tested three different pretrained models: MobileNetV2, ResNet50V2, and VGG16.
forked from mattemugno/Smart-Waste-Classification
-
Notifications
You must be signed in to change notification settings - Fork 0
Buch97/SmartWasteClassifation
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Project developed for "Computational Intelligence and Deep Learning" course, MSC in Artificial Intelligence and Data Engineering at University of Pisa
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Jupyter Notebook 100.0%