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handwritten-digit-classification

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This project implements a simple neural network for handwritten digit classification using the MNIST dataset and the Softmax activation function, built with PyTorch. The model is trained to recognize digits (0-9) based on pixel data from 28x28 grayscale images.

  • Updated Sep 13, 2025
  • Python

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