MNIST Digit Classifier

A simple Convolutional Neural Network (CNN) built with PyTorch to classify handwritten digits from the MNIST dataset. Perfect for learning the basics of deep learning, computer vision, and PyTorch.

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Features ✨

• Custom CNN architecture with 2 convolutional layers and 2 fully connected layers
• Trains on the MNIST dataset (60,000 training images)
• Evaluates test accuracy on 10,000 images
• Uses Adam optimizer and CrossEntropyLoss

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Installation & Usage ⚡

pip install -r requirements.txt
python train.py