| Name : R-innsight
| |
| Version : 0.3.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:54:27
|
| Group : Development/Libraries/Other
| Source RPM : R-innsight-0.3.0-lp153.1.4.src.rpm
|
| Size : 4.50 MB
| |
| Packager : (none)
| |
| Summary : Get the Insights of Your Neural Network
|
Description :
Interpretation methods for analyzing the behavior and individual
predictions of modern neural networks in a three-step procedure:
Converting the model, running the interpretation method, and
visualizing the results. Implemented methods are, e.g., \'Connection
Weights\' described by Olden et al. (2004)
< doi:10.1016/j.ecolmodel.2004.03.013>, layer-wise relevance propagation
(\'LRP\') described by Bach et al. (2015)
< doi:10.1371/journal.pone.0130140>, deep learning important features
(\'DeepLIFT\') described by Shrikumar et al. (2017) < arXiv:1704.02685>
and gradient-based methods like \'SmoothGrad\' described by Smilkov et
al. (2017) < arXiv:1706.03825>, \'Gradient x Input\' described by Baehrens
et al. (2009) < arXiv:0912.1128> or \'Vanilla Gradient\'.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
