How to Install and Uninstall dataset-fashion-mnist Package on Kali Linux

Last updated: January 11,2025

1. Install "dataset-fashion-mnist" package

This guide let you learn how to install dataset-fashion-mnist on Kali Linux


    
        
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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

In this section, we are going to explain the necessary steps to uninstall dataset-fashion-mnist on Kali Linux:


    
        
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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 Kali Linux

Package: dataset-fashion-mnist
Version: 0.0~git20200523.55506a9-1
Installed-Size: 30197
Maintainer: Mo Zhou
Architecture: all
Size: 30900652
SHA256: 39e172fe32dd318ebb3e512220c3beea2fa47d7e20bab348fb4e0922d6beefc0
SHA1: 08712481535c182683c7803e3f9b81fd8773e695
MD5sum: 28c148d3a02fef8285239e22d1f420b1
Description: 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:
Homepage: https://github.com/zalandoresearch/fashion-mnist
Section: utils
Priority: optional
Filename: pool/main/d/dataset-fashion-mnist/dataset-fashion-mnist_0.0~git20200523.55506a9-1_all.deb