How to Install and Uninstall libfann-dev Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 13,2024

1. Install "libfann-dev" package

This guide let you learn how to install libfann-dev on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libfann-dev
            
                    
    
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2. Uninstall "libfann-dev" package

Please follow the guidelines below to uninstall libfann-dev on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libfann-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libfann-dev package on Ubuntu 21.10 (Impish Indri)

Package: libfann-dev
Architecture: amd64
Version: 2.2.0+ds-6
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: libfann
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Christian Kastner
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 719
Depends: libfann2 (= 2.2.0+ds-6)
Suggests: libfann-doc (= 2.2.0+ds-6)
Conflicts: libfann1-dev
Replaces: libfann1-dev
Filename: pool/universe/libf/libfann/libfann-dev_2.2.0+ds-6_amd64.deb
Size: 88024
MD5sum: c041ca038adf833b2113256e7e307715
SHA1: 8facdd31535ec49e862b9c32a9afd0a7b3e93e46
SHA256: 5f6d8a30684889a6b589cc3fcf0b20bcfc9e7f33fd0fe46e03531be3d4fcb142
SHA512: 0f12a8b72698c0417b5d5eed3b2fe335447da4190656ee6c7c9a29183c35d9f454a612372117b5929a27435b2f9e6a4e920f4528f0b8552a261d4cb10a1f966b
Homepage: https://leenissen.dk/fann/wp/
Description-en: Development libraries and header files for FANN
Fast Artificial Neural Network Library is a free open
source neural network library, which implements multilayer artificial
neural networks in C with support for both fully connected and
sparsely connected networks. Cross-platform execution in both fixed
and floating point are supported. It includes a framework for easy
handling of training data sets. It is easy to use, versatile, well
documented, and fast.
.
This package contains the header files and static libraries which are
needed for developing libfann applications.
Description-md5: e0af5ca2177bf19d0ddca59f5074944e