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

Last updated: December 24,2024

1. Install "python3-keras" package

Please follow the instructions below to install python3-keras on Ubuntu 21.10 (Impish Indri)


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

This is a short guide on how to uninstall python3-keras on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-keras
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-keras package on Ubuntu 21.10 (Impish Indri)

Package: python3-keras
Architecture: all
Version: 2.3.1+dfsg-3
Priority: optional
Section: universe/python
Source: keras
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1764
Depends: python3-numpy, python3-scipy, python3-h5py, python3-theano, python3-keras-applications (>= 1.0.8), python3-keras-preprocessing (>= 1.1.0), python3-six (>= 1.9.0), python3-yaml, python3:any (>= 3.8~)
Filename: pool/universe/k/keras/python3-keras_2.3.1+dfsg-3_all.deb
Size: 236980
MD5sum: 99ff5a8587926b3b7c73df409d83b0c8
SHA1: 3ef9adbef49073a328db9bf75a2c0ea0d8c7766b
SHA256: c1c837e8d2977d9f32f94f7d64049eaf30819ecb695ecf7e459279cab582df86
SHA512: 57c8be6dd68713357c5e76d8e4cea7049258c04f77e8d53ae99d2b8e6618bbacdbf8eb9620bfc507d369836524d3d46aa5c222acfad57769419e68bb01047620
Homepage: https://keras.io/
Description-en: deep learning framework running on Theano or TensorFlow
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).
Description-md5: 104b94887fae7bdf8b8527f2de8b8f81