findmax(model(preprocess(images[i]))) .- (0,1)
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Perhaps a little more context as far as what you understand and where you are getting stuck would help here
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As the comment in the code explains, findmax returns the largest element of an array and its index. Here, the array seems to be a vector of length ten with each element being the probability of the image representing one of the digits 0 to 9. Findmax tells you that the highest predicted probability is 0.82, and that it is element number 8 in the vector. As Julia indexing is one based, 1 is subtracted from this to translate the array index into the relevant digit (array element 1 corresponds to digit 0, element 2 to digit 1 etc so element 8 corresponds up digit 7)
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