Digit classification on CPU with ONNX Runtime demo

Open Neural Network Exchange (ONNX) provides an open-source format for both deep learning and machine learning models.
We can train our models in whichever framework we prefer and then convert the model to ONNX format.
With Microsoft's ONNX Runtime, we can run an inference session with onnx models on any environments which give us slightly faster implementation.

Here is a simple demonstration of the same. The model is trained to recognize digits using the MNIST dataset with PyTorch. I'm running an inference session on Linux CPU.

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