SOLVED: Text: (python) You will be using the fashion mnist dataset available in keras. The dataset can be imported using the following code instance: from keras.datasets import fashionmnist (trainimages, trainlabels), (testimages, testlabels) = fashionmnist.loaddata() Divide the training images further, into 40,000 training and 20,000 validation images. Make sure you do this at random. So now you will have 40,000 training images, 20,000 validation images and 10,000 testing images.1. Read about t
SOLVED: Text: (python) You will be using the fashion mnist dataset av…
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