Consider the following digits and how they are written by different individuals: 1, 2, 3, 4, 5, 6, 7, 8, 9, 0. Assess at least five different features that the neural network will need to learn in order to correctly identify these different digits, specifically the way they are written, and the lines and shapes associated with handwriting. For example, when an algorithm is trained to recognize the number 1 in the UK, it will be trained to recognize a simple vertical line, and then use this learnt feature to predict the digit it sees.

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Handwritten digit recognition is a universal problem of classification on which several architecture... View the full answer