CNN architecture for Image Classification
Project description
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:
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from fas14mnet.net import Fas14MNet
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model = Fas14MNet(num_classes)
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