How to Install and Uninstall libfann-doc Package on Kali Linux
Last updated: February 24,2025
1. Install "libfann-doc" package
Here is a brief guide to show you how to install libfann-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
libfann-doc
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2. Uninstall "libfann-doc" package
Learn how to uninstall libfann-doc on Kali Linux:
$
sudo apt remove
libfann-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libfann-doc package on Kali Linux
Package: libfann-doc
Source: libfann
Version: 2.2.0+ds-8
Installed-Size: 12881
Maintainer: Christian Kastner
Architecture: all
Recommends: libfann-dev (= 2.2.0+ds-8)
Size: 1584764
SHA256: 6356ba5d5ba33482af3248541ef06b064c4b7fbf793556e0e99b1f5b78a6061d
SHA1: 7f3c5447b02167f543d5ec48aaa9c719f43f5454
MD5sum: e7328717ff60b3c6fc559c02bff71c31
Description: API documentation 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 API documentation in HTML form and some
introductory material in text form.
Description-md5:
Multi-Arch: foreign
Homepage: https://leenissen.dk/fann/wp/
Tag: devel::doc, devel::examples, made-of::html, role::documentation
Section: doc
Priority: optional
Filename: pool/main/libf/libfann/libfann-doc_2.2.0+ds-8_all.deb
Source: libfann
Version: 2.2.0+ds-8
Installed-Size: 12881
Maintainer: Christian Kastner
Architecture: all
Recommends: libfann-dev (= 2.2.0+ds-8)
Size: 1584764
SHA256: 6356ba5d5ba33482af3248541ef06b064c4b7fbf793556e0e99b1f5b78a6061d
SHA1: 7f3c5447b02167f543d5ec48aaa9c719f43f5454
MD5sum: e7328717ff60b3c6fc559c02bff71c31
Description: API documentation 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 API documentation in HTML form and some
introductory material in text form.
Description-md5:
Multi-Arch: foreign
Homepage: https://leenissen.dk/fann/wp/
Tag: devel::doc, devel::examples, made-of::html, role::documentation
Section: doc
Priority: optional
Filename: pool/main/libf/libfann/libfann-doc_2.2.0+ds-8_all.deb