Following the tutorials at PyTorch's Introduction to PyTorch, but using an alternate dataset (MNIST instead of MNIST-fashion), we use a simple MLP with two Linear layers and ReLU, and a Stochastic Gradient Descent optimizer to train a simple neural network to learn to recognize handwritten digits.
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A simple exhibition of using PyTorch to classify the images in the MNIST dataset
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