R/value-functions.R:
CRAN
RGAN: Generative Adversarial Nets (GAN) in R
($D(G(z))$)
#'
#' @return The function returns a named list with the entries d_loss and g_loss
($D(G(z))$)
#'
#' @return The function returns a named list with the entries d_loss and g_loss
($D(G(z))$)
#'
#' @return The function returns a named list with the entries d_loss and g_loss
examples ($D(x)$)
fake_scores
The discriminator scores on fake examples ($D(G(z))$)
fake_scores
The discriminator scores on fake examples ($D(G(z))$)
Value
The discriminator scores on fake examples ($D(G(z))$)
Value
The function returns a named list with the entries d_loss and g_loss
fake_scores
The discriminator scores on fake examples ($D(G(z))$)
Value
on real examples ($D(x)$)
fake_scores
The discriminator scores on fake examples ($D(G(z))$)
if(track_loss & length(losses) > 0){
losses$g_loss <- c(losses$g_loss, step_loss$g_loss)
losses$d_loss <- cThe discriminator scores on fake examples ($D(G(z))$)
Value
The function returns a named list with the entries d_loss and g_loss
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.
