The MNIST data set, consisting of 70,000 handwriting samples, is used to predict the number each handwritten image represents. Each image is 28x28 grayscale pixels, making each a 1D array of 784 numbers. Consistency in flattening each image is sufficient, and preserving the 2D structure is a priority.
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