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Fashion-MNIST is a dataset of Zalando's (http://www.zalando.com) article images —consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.
Fashion-MNIST serves as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. It shares the same image size and structure of training and testing splits. (See GitHub Repo)
Hint: You can use dimensionality reduction to simplify the things.
filePath = '/cxldata/datasets/project/fashion-mnist/’
Cloudxlab is using this “Fashion MNIST” problem for its machine learning learners for learning and practicing. Fashion-MNIST dataset is a collection of articles images provided by Zalando . We thank Zalando Research for hosting the dataset.
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