How to Install and Uninstall python3-keras-applications Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "python3-keras-applications" package

Learn how to install python3-keras-applications on Ubuntu 21.10 (Impish Indri)


    
        
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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

This tutorial shows how to uninstall python3-keras-applications on Ubuntu 21.10 (Impish Indri):


    
        
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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 Ubuntu 21.10 (Impish Indri)

Package: python3-keras-applications
Architecture: all
Version: 1.0.8+ds-1
Priority: optional
Section: universe/python
Source: keras-applications
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 220
Depends: python3-h5py, python3-numpy, python3:any (>= 3.6~)
Recommends: python3-keras
Filename: pool/universe/k/keras-applications/python3-keras-applications_1.0.8+ds-1_all.deb
Size: 25752
MD5sum: f0e6c9e9270ccdaa17d09c59c80c6965
SHA1: cfdfa5fe6dec4da50dea2eba0f44bd767050e347
SHA256: 2d0ace2b9e5e2a5508a448bf5adc5cabb99e22fea1ab082f6dbcca3f062119ac
SHA512: aa609a52ee1188f2147f89e23fe209065bdbcae8f433c704337583fcc444e6d1541665ee86cb8eb658a2bd5611a402ee73b23c35b0e743fd13f0753bc7916cc9
Homepage: https://keras.io/
Description-en: 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: 4f5ca07117a131b469d0ce564cd826ee