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