How to Install and Uninstall c-graph.x86_64 Package on Fedora 34
Last updated: November 25,2024
1. Install "c-graph.x86_64" package
In this section, we are going to explain the necessary steps to install c-graph.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
c-graph.x86_64
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2. Uninstall "c-graph.x86_64" package
This guide let you learn how to uninstall c-graph.x86_64 on Fedora 34:
$
sudo dnf remove
c-graph.x86_64
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$
sudo dnf autoremove
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3. Information about the c-graph.x86_64 package on Fedora 34
Last metadata expiration check: 2:02:17 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : c-graph
Version : 2.0.1
Release : 5.fc34
Architecture : x86_64
Size : 818 k
Source : c-graph-2.0.1-5.fc34.src.rpm
Repository : fedora
Summary : Convolution Graph
URL : http://www.gnu.org/software/c-graph
License : GPLv3+
Description : Convolution Theorem Visualization
:
: Convolution is a core concept in today's cutting-edge technologies of
: deep learning and computer vision. Singularly cogent in application to
: digital signal processing, the convolution theorem is regarded as the
: most powerful tool in modern scientific analysis. Long utilised for
: accelerating the application of filters to images, fast training of
: convolutional neural networks exploit the convolution theorem to accelerate
: training and inference in the ubiquitous applications of computer vision
: that, today, are at the vanguard of the evolving artificially intelligent
: world in which we are becoming increasingly immersed.
:
: Coded in modern Fortran, GNU C-Graph is the de facto tool for visualizing
: convolution in university courses worldwide. "C-Graph" stands for
: "Convolution Graph" - Free Software that makes learning about convolution
: easy!
Available Packages
Name : c-graph
Version : 2.0.1
Release : 5.fc34
Architecture : x86_64
Size : 818 k
Source : c-graph-2.0.1-5.fc34.src.rpm
Repository : fedora
Summary : Convolution Graph
URL : http://www.gnu.org/software/c-graph
License : GPLv3+
Description : Convolution Theorem Visualization
:
: Convolution is a core concept in today's cutting-edge technologies of
: deep learning and computer vision. Singularly cogent in application to
: digital signal processing, the convolution theorem is regarded as the
: most powerful tool in modern scientific analysis. Long utilised for
: accelerating the application of filters to images, fast training of
: convolutional neural networks exploit the convolution theorem to accelerate
: training and inference in the ubiquitous applications of computer vision
: that, today, are at the vanguard of the evolving artificially intelligent
: world in which we are becoming increasingly immersed.
:
: Coded in modern Fortran, GNU C-Graph is the de facto tool for visualizing
: convolution in university courses worldwide. "C-Graph" stands for
: "Convolution Graph" - Free Software that makes learning about convolution
: easy!