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

Last updated: December 23,2024

1. Install "python3-keras-applications" package

Please follow the instructions below to install python3-keras-applications on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

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

In this section, we are going to explain the necessary steps to uninstall python3-keras-applications on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-keras-applications
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python3-keras-applications
Source: keras-applications
Version: 1.0.8+ds-1
Installed-Size: 220
Maintainer: Debian Science Maintainers
Architecture: all
Depends: python3-h5py, python3-numpy, python3:any (>= 3.6~)
Recommends: python3-keras
Size: 25712
SHA256: 142228e3baa2a4b47ca877fd0d4b99f0aa7b0103bc496ecd839d392bad95ec04
SHA1: f30dc18ab7c540a2e8cf342c2a34ea686de8de6f
MD5sum: 7fc6a9cf1dc2e8d7dd5762eb3e501b4d
Description: popular models and pre-trained weights 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 Applications is the applications module of the Keras deep
learning library. It provides model definitions and pre-trained
weights for a number of popular architectures, such as VGG16, ResNet50,
Xception, MobileNet, and more.
Description-md5:
Homepage: https://keras.io/
Section: python
Priority: optional
Filename: pool/main/k/keras-applications/python3-keras-applications_1.0.8+ds-1_all.deb