Defined in tensorflow/contrib/gan/python/losses/__init__.py
.
TFGAN losses and penalties.
Losses can be used with individual arguments or with GANModel tuples.
wargs
module: TFGAN grouped API. Please see README.md for details and usage.
combine_adversarial_loss(...)
: Combine adversarial loss and main loss.
cycle_consistency_loss(...)
: Defines the cycle consistency loss.
least_squares_discriminator_loss(...)
least_squares_generator_loss(...)
minimax_discriminator_loss(...)
modified_discriminator_loss(...)
mutual_information_penalty(...)
wasserstein_discriminator_loss(...)
wasserstein_generator_loss(...)
wasserstein_gradient_penalty(...)
__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