CycleGanModel | R Documentation |
Cycle generative adverserial network from the paper:
https://arxiv.org/pdf/1703.10593
and ported from the Keras (python) implementation:
https://github.com/eriklindernoren/Keras-GAN/blob/master/cyclegan/cyclegan.py
$initialize
instantiates a new class and builds the
generator and discriminator.
$buildGenerator
build generator.
$buildGenerator
build discriminator.
Tustison NJ
library( keras )
library( ANTsRNet )
keras::backend()$clear_session()
ganModel <- CycleGanModel$new(
inputImageSize = c( 128, 128, 3 ) )
ganModel$buildGenerator()
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