Man pages for RGAN
Generative Adversarial Nets (GAN) in R
| data_transformer | Data Transformer |
| DCGAN_Discriminator | DCGAN Discriminator |
| DCGAN_Generator | DCGAN Generator |
| Discriminator | Discriminator |
| expert_sample_synthetic_data | Sample Synthetic Data with explicit noise input |
| gan_trainer | gan_trainer |
| GAN_update_plot | GAN_update_plot |
| GAN_update_plot_image | GAN_update_plot_image |
| gan_update_step | gan_update_step |
| GAN_value_fct | GAN Value Function |
| Generator | Generator |
| kl_fake | KL WGAN loss on fake examples |
| kl_gen | KL WGAN loss for Generator training |
| kl_real | KL WGAN loss on real examples |
| KLWGAN_value_fct | KLWGAN Value Function |
| sample_synthetic_data | Sample Synthetic Data from a trained RGAN |
| sample_toydata | Sample Toydata |
| torch_rand_ab | Uniform Random numbers between values a and b |
| WGAN_value_fct | WGAN Value Function |
| WGAN_weight_clipper | WGAN Weight Clipper |
