Defined in tensorflow/contrib/gan/python/losses/python/losses_wargs.py
.
TFGAN grouped API. Please see README.md for details and usage.
acgan_discriminator_loss(...)
: ACGAN loss for the discriminator.
acgan_generator_loss(...)
: ACGAN loss for the generator.
combine_adversarial_loss(...)
: Utility to combine main and adversarial losses.
cycle_consistency_loss(...)
: Defines the cycle consistency loss.
least_squares_discriminator_loss(...)
: Least squares discriminator loss.
least_squares_generator_loss(...)
: Least squares generator loss.
minimax_discriminator_loss(...)
: Original minimax discriminator loss for GANs, with label smoothing.
minimax_generator_loss(...)
: Original minimax generator loss for GANs.
modified_discriminator_loss(...)
: Same as minimax discriminator loss.
modified_generator_loss(...)
: Modified generator loss for GANs.
mutual_information_penalty(...)
: Returns a penalty on the mutual information in an InfoGAN model.
wasserstein_discriminator_loss(...)
: Wasserstein discriminator loss for GANs.
wasserstein_generator_loss(...)
: Wasserstein generator loss for GANs.
wasserstein_gradient_penalty(...)
: The gradient penalty for the Wasserstein discriminator loss.
__cached__
__loader__
__spec__
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/gan/losses/wargs