How to Install and Uninstall dataset-fashion-mnist Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 07,2024

1. Install "dataset-fashion-mnist" package

This is a short guide on how to install dataset-fashion-mnist on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                dataset-fashion-mnist
            
                    
    
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2. Uninstall "dataset-fashion-mnist" package

This guide covers the steps necessary to uninstall dataset-fashion-mnist on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                dataset-fashion-mnist
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the dataset-fashion-mnist package on Ubuntu 20.10 (Groovy Gorilla)

Package: dataset-fashion-mnist
Architecture: all
Version: 0.0~git20200523.55506a9-1
Priority: optional
Section: universe/utils
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Mo Zhou
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 30197
Filename: pool/universe/d/dataset-fashion-mnist/dataset-fashion-mnist_0.0~git20200523.55506a9-1_all.deb
Size: 30900692
MD5sum: 46549c94b71ddb5d6215db8282eb1813
SHA1: 98c738f779e949844c26cd70181301fb14e6d206
SHA256: 3b74fb896877121a18b554dd9052e015f8a242c9bc39bc1495cb33c99bd3988e
SHA512: bc33b5d424b4b44ef87562021ced618a6028c5cfcd92067032b7ba6e9be03517dc1bda59cb381c086b9c202542f87a514ecb8e6fe0eb2a88aff0b66b4f1a5709
Homepage: https://github.com/zalandoresearch/fashion-mnist
Description-en: MNIST-like fashion product database
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 28x28 grayscale image, associated with a label from 10 classes.
The author intends Fashion-MNIST to serve 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.
Description-md5: bf10f384c51016bca6b70bf611c84458