Knn classification on a mnist image dataset
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Hi i have this mnist jpg numbers of 1 to 5 every pic has 1100 pic of number in 16*16 pixel and the gray scale in every pixel is 0-255 dataset and i want to do knn classify the first half of data must be for training and second half is for test and i also want to find accuracy of performance of this classification and showing the number of wrong and true classifications with confusion matrix. Any one can help me with this .please.
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Image Analyst
2021-1-4
Doesn't MATLAB have a deep learning demo that uses the mnist image set? I seem to remember seeing something like that using deep learning but not KNN.
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