How to Install and Uninstall libfann2 Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 24,2024

1. Install "libfann2" package

Here is a brief guide to show you how to install libfann2 on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                libfann2
            
                    
    
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2. Uninstall "libfann2" package

In this section, we are going to explain the necessary steps to uninstall libfann2 on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                libfann2
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libfann2 package on Ubuntu 21.10 (Impish Indri)

Package: libfann2
Architecture: amd64
Version: 2.2.0+ds-6
Multi-Arch: same
Priority: optional
Section: universe/libs
Source: libfann
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Christian Kastner
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 382
Depends: libc6 (>= 2.29)
Suggests: libfann-dev (= 2.2.0+ds-6), libfann-doc (= 2.2.0+ds-6)
Conflicts: libfann1
Replaces: libfann1
Filename: pool/universe/libf/libfann/libfann2_2.2.0+ds-6_amd64.deb
Size: 63456
MD5sum: 49cfeb8161c1b578782f9e7354e8f43c
SHA1: e96fa9ee516d038b439f1cfdd28617506f104136
SHA256: ce3bd8f21a4274b52fedb5d5c59de99e4dc3396a5c6e5d5350db88a4e9c9fabc
SHA512: 05149eaf034a5d3ee02f5fa724e248c5c1d9c2938b9dd1ce519eb92d3349a35ea7bbc4e6a8d5a78bda0a5d6cc20e7166bbe0cab16e4c92921d3d8378e8bf3557
Homepage: https://leenissen.dk/fann/wp/
Description-en: Fast Artificial Neural Network Library
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 shared libraries.
Description-md5: ab1aecd841f644a4cda85a0d90671d9b