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  1. Recreating one of the early ai experiments : recognising handwritten numbers The MNIST dataset features some 60,000 handwritten characters (digits), captured in 28x28 pixel frames In this experiment only the first 200 of these 60,000 digits are used Training based on this small trainingset only takes about 30 seconds The testset contains some 20 digits randomly taken from the dataset These digits have not been used in the training Given these constraints it all performs amazingly well Give it more trainingdata and increase training time and it only becomes better Proj
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