MNIST Digit Classifier

Simple CNN trained on MNIST handwritten digits.

  • Classes: digits 0-9
  • Training samples: 1000
  • Test samples: 200
  • Epochs: 3
  • Test accuracy: 74%
  • Model format: TorchScript

Input: grayscale image, 28x28 pixels, normalized to [0,1].

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