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PyTorch implementation of a feed forward neural network to classify handwritten digits from the MNIST dataset

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Handwritten-Digit-Classification-PyTorch

Command to run the python file: python mnist.py

This model has only 2 linear layers. To improve accuaracy, try using convolutional layers, experiment with learning rate and tune other hyperparameters. Torchvision already has MNIST dataset, but it can also be found here: https://www.kaggle.com/datasets/oddrationale/mnist-in-csv

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PyTorch implementation of a feed forward neural network to classify handwritten digits from the MNIST dataset

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