c, Include the completed cover sheet that you can find at the end of the document.
Fashion-MNIST is a dataset of Zalando’s article images — consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28×28 grayscale image, associated with a label from 10 classes. Fashion- MNIST is a replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits.
In the vuws data directory for the assignment is a zip archive (fashionmnist.zip) that contains 4 data files (training and test sets, split into data and labels), plus some R code (loader. R).
You can use the functions in loader.R to load the unzipped files, and also to dis- play individual images while you work on your code. The function load mnist() in this file loads all the data (must be in the same directory), and creates variables train$n, train$x, train$y, and test$n, test$x, test$y.
need to solute by R

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