| Name : R-RGAN
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.7.4
| Date : 2024-06-14 11:57:21
|
| Group : Development/Libraries/Other
| Source RPM : R-RGAN-0.1.1-lp153.7.4.src.rpm
|
| Size : 0.25 MB
| |
| Packager : (none)
| |
| Summary : Generative Adversarial Nets (GAN) in R
|
Description :
An easy way to get started with Generative Adversarial Nets (GAN) in R.
The GAN algorithm was initially described by Goodfellow et al. 2014
< https://proceedings.neurips.cc/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf>.
A GAN can be used to learn the joint distribution of complex data by
comparison. A GAN consists of two neural networks a Generator and a
Discriminator, where the two neural networks play an adversarial
minimax game. Built-in GAN models make the training of GANs in R
possible in one line and make it easy to experiment with different
design choices (e.g. different network architectures, value functions,
optimizers). The built-in GAN models work with tabular data (e.g. to
produce synthetic data) and image data. Methods to post-process the
output of GAN models to enhance the quality of samples are available.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
