| Name : R-nnR
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:11:03
|
| Group : Development/Libraries/Other
| Source RPM : R-nnR-0.1.0-lp153.1.4.src.rpm
|
| Size : 0.24 MB
| |
| Packager : (none)
| |
| Summary : Neural Networks Made Algebraic
|
Description :
Do algebraic operations on neural networks. We seek here to implement
in R, operations on neural networks and their resulting approximations.
Our operations derive their descriptions mainly from Rafi S., Padgett,
J.L., and Nakarmi, U. (2024), \"Towards an Algebraic Framework For
Approximating Functions Using Neural Network Polynomials\",
< doi:10.48550/arXiv.2402.01058>, Grohs P., Hornung, F., Jentzen, A. et
al. (2023), \"Space-time error estimates for deep neural network
approximations for differential equations\",
< doi:10.1007/s10444-022-09970-2>, Jentzen A., Kuckuck B., von
Wurstemberger, P. (2023), \"Mathematical Introduction to Deep Learning
Methods, Implementations, and Theory\" < doi:10.48550/arXiv.2310.20360>.
Our implementation is meant mainly as a pedagogical tool, and proof of
concept. Faster implementations with deeper vectorizations may be made
in future versions.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
