Metadata-Version: 2.1
Name: Fas14MNet
Version: 0.1.1
Summary: CNN architecture for Image Classification
Home-page: https://github.com/DigantaD/Fas14MNet/tree/main/src
Author: Diganta Dutta
Author-email: diganta.aimlos@gmail.com
License: UNKNOWN
Keywords: image classification,cnn
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
Requires-Dist: torch


This is a project intended to create a new CNN Network for Image Classification. Fas14MNet can also be used for Multi-Label Image Classification and in this project we try to create a CNN that will work equally well with for Traditional AI architectures as well as a Federated Architecture and Fas14MNet helps us achieve that. Fas14MNet is inspired from the basic architecture of a ResNet50 model but is much lighter while having ~15M parameters compared to 23M+ parameters in a ResNet50 model.


Steps to run:

1. from fas14mnet.net import Fas14MNet

2. model = Fas14MNet(num_classes)


