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loss_fns.R
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loss_fns.R
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# Loss functions
# discriminator loss
# Does it correctly identify real images as real
# and does it correctly spot fake images as fake
# real output, generated output - logits returned from discriminator
discriminator_loss <- function(real_output, generated_output) {
real_loss <- tf$compat$v1$losses$sigmoid_cross_entropy(
multi_class_labels = k_ones_like(real_output),
logits = real_output)
generated_loss <- tf$compat$v1$losses$sigmoid_cross_entropy(
multi_class_labels = k_zeros_like(generated_output),
logits = generated_output)
real_loss + generated_loss
}
# generator loss
# how discriminator judged generator's creations
generator_loss <- function(generated_output) {
tf$compat$v1$losses$sigmoid_cross_entropy(
tf$ones_like(generated_output),
generated_output)
}