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A4_4410848_Jumanah

This repository contains two simple feedforward neural network models implemented in PyTorch:

- **DummyNet** – a simple feedforward model built without using any activation functions .

- **VanillaNet** – a simple feedforward model built using activation functions.

Both models are trained on the FashionMNIST dataset and their pretrained weights are included.

## Files in this repository

- dummy.py – defines the SimpleFeedForwardNet class for DummyNet

- vanilla.py – defines the SimpleFeedForwardNet class for VanillaNet

- dummy-weights.bin – pretrained weights for DummyNet

- vanilla-weights.bin – pretrained weights for VanillaNet

- hubconf.py – allows loading models with torch.hub.load()

- README.md – this file

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