How to Install and Uninstall python3-keras-preprocessing Package on Kali Linux

Last updated: May 12,2024

1. Install "python3-keras-preprocessing" package

This is a short guide on how to install python3-keras-preprocessing on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-keras-preprocessing
            
                    
    
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2. Uninstall "python3-keras-preprocessing" package

Please follow the guidelines below to uninstall python3-keras-preprocessing on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-keras-preprocessing
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-keras-preprocessing package on Kali Linux

Package: python3-keras-preprocessing
Source: keras-preprocessing
Version: 1.1.0+ds-1
Installed-Size: 169
Maintainer: Debian Science Maintainers
Architecture: all
Depends: python3-numpy, python3-six (>= 1.9.0), python3:any (>= 3.6~)
Recommends: python3-keras
Size: 31384
SHA256: 9123801b214d6c470fce16d8f0643599aaf9b2580567a9992846192352f4245f
SHA1: 3e159c1a7cf7c5f88229ac4ba8f7a2eb862340d2
MD5sum: 5a153b143e8f0b90e2c49d298c8eda0b
Description: data preprocessing module for the Keras deep learning framework
Keras is a Python library for machine learning based on deep (multi-
layered) artificial neural networks (DNN), which follows a minimalistic
and modular design with a focus on fast experimentation.
.
Features of DNNs like neural layers, cost functions, optimizers,
initialization schemes, activation functions and regularization schemes
are available in Keras a standalone modules which can be plugged together
as wanted to create sequence models or more complex architectures.
Keras supports convolutions neural networks (CNN, used for image
recognition resp. classification) and recurrent neural networks (RNN,
suitable for sequence analysis like in natural language processing).
.
It runs as an abstraction layer on the top of Theano (math expression
compiler) by default, which makes it possible to accelerate the computations
by using (GP)GPU devices. Alternatively, Keras could run on Google's
TensorFlow (not yet available in Debian).
.
Keras Preprocessing is the data preprocessing and data augmentation
module of the Keras deep learning library. It provides utilities for
working with image data, text data, and sequence data.
Description-md5:
Homepage: https://keras.io/
Section: python
Priority: optional
Filename: pool/main/k/keras-preprocessing/python3-keras-preprocessing_1.1.0+ds-1_all.deb