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MNIST MLP Classifier (PyTorch)
This is a simple multi-layer perceptron (MLP) trained on the MNIST dataset to classify handwritten digits (0–9).
Model
- Input: 28×28 grayscale image
- Architecture: MLP (784 → 128 → 64 → 10)
- Loss: CrossEntropyLoss
- Optimizer: Adam
Usage
Load weights using:
model.load_state_dict(torch.load("mnist_mlp.pth"))
model.eval()
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