Identifying Handwritten Digits From the MNIST Dataset Using Python

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The handwritten digits are from the famous MNIST dataset. The task is to classify a given image into one of the 10 digits. I’m doing it all in Python. The code is described as a neural network called a NeuralNet. It is a collection of 60,000 small, square 28 x 28 pixel grayscale images of handwritten single digits between 0 and 9. It's a full stack developer getting started with Deep Learning and sharing my learnings along the way. Let's get started with the code.