Information for RPM c-graph-2.0.1-4.fc33.src.rpm
| ID | 705272 | ||||||||
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| Name | c-graph | ||||||||
| Version | 2.0.1 | ||||||||
| Release | 4.fc33 | ||||||||
| Epoch | |||||||||
| Arch | src | ||||||||
| Summary | Convolution Graph | ||||||||
| 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! | ||||||||
| Build Time | 2020-08-15 12:50:05 GMT | ||||||||
| Size | 1.45 MB | ||||||||
| e79e20dae4288bac88503cc1930e099a | |||||||||
| License | GPLv3+ | ||||||||
| Buildroot | f33-build-302791-57037 | ||||||||
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| Obsoletes | No Obsoletes | ||||||||
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