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Decoding of handwritten numbers

This is a demonstration of a classic example of image classification by Computer Vision (and Machine Learning). The demo uses a model that has been trained to decode a handwritten number ranging from 0 to 9. The input material for the training is a set of handwritten numbers known as the MNIST numbers.

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