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A4_4310154_karimah
karemaa/A4_4310154_karimah
A4_4310154_karimah is a machine learning model from karemaa. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Course: AI417 - Deep Learning | Organization: AI417UPM
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Public
Updated Feb 20, 2026
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5.5 MB
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At a glance
- Access
- Public
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026
- SHA
- 3dd019d7
Model card
From the Hugging Face model README
A4 - FashionMNIST Models
Course: AI417 - Deep Learning | Organization: AI417UPM
Models
VanillaNet
A deep feedforward network with LeakyReLU activations, trained on FashionMNIST.
| Detail | Value |
|---|---|
| Architecture | 784 → 512 → 384 → 256 → 192 → 128 → 96 → 64 → 48 → 32 → 10 |
| Activation | LeakyReLU (α=0.01) |
| Weight Init | Kaiming Uniform + Xavier (last layer) |
| Optimizer | AdamW (lr=0.001, weight_decay=0.01) |
| Epochs | 300 |
| Final Loss | 0.70707 |
| Eval Accuracy | 89.72% |
| Training Time | ~294 seconds |
DummyNet
A simple feedforward network without activation functions, trained on FashionMNIST.
| Detail | Value |
|---|---|
| Architecture | 784 → 512 → 256 → 128 → 64 → 32 → 10 |
| Activation | None |
| Weight Init | Xavier Uniform |
| Optimizer | Adagrad (lr=0.001) |
| Epochs | 300 |
| Final Loss | 0.44286 |
| Eval Accuracy | 84.43% |
| Training Time | ~172 seconds |
Usage
from huggingface_hub import snapshot_download
import torch as tr
repo = snapshot_download('ai417upm/A4_YOURID_YOURNAME', token="YOUR-TOKEN")
# Load VanillaNet
model = tr.hub.load(repo, 'VanillaNet', source='local')
model.eval()
predictions = model(tr.randn(10000, 784))
# Load DummyNet
model = tr.hub.load(repo, 'DummyNet', source='local')
model.eval()
predictions = model(tr.randn(10000, 784))
Dataset
- FashionMNIST — 60,000 training / 10,000 evaluation samples
- Input range: [-1.0, 1.0] (normalized)
- 10 classes: T-shirt, Trouser, Pullover, Dress, Coat, Sandal, Shirt, Sneaker, Bag, Ankle boot
- Created
- Feb 20, 2026
- Updated
- Feb 20, 2026