Type mnist
Namespace tensorflow.contrib.eager.python.examples.gan.mnist
Methods
- discriminator_loss
- discriminator_loss_dyn
- generator_loss
- generator_loss_dyn
- train_one_epoch
- train_one_epoch_dyn
Properties
- Discriminator_fn
- discriminator_loss_fn
- Generator_fn
- generator_loss_fn
- main_fn
- parser
- parser_dyn
- train_one_epoch_fn
- unparsed
- unparsed_dyn
Fields
Public static methods
object discriminator_loss(object discriminator_real_outputs, object discriminator_gen_outputs)
object discriminator_loss_dyn(object discriminator_real_outputs, object discriminator_gen_outputs)
object generator_loss(object discriminator_gen_outputs)
object generator_loss_dyn(object discriminator_gen_outputs)
void train_one_epoch(Generator generator, Discriminator discriminator, AdamOptimizer generator_optimizer, AdamOptimizer discriminator_optimizer, Dataset dataset, IGraphNodeBase step_counter, int log_interval, int noise_dim)
object train_one_epoch_dyn(object generator, object discriminator, object generator_optimizer, object discriminator_optimizer, object dataset, object step_counter, object log_interval, object noise_dim)
Public properties
PythonFunctionContainer Discriminator_fn get;
PythonFunctionContainer discriminator_loss_fn get;
PythonFunctionContainer Generator_fn get;
PythonFunctionContainer generator_loss_fn get;
PythonFunctionContainer main_fn get;
PythonClassContainer parser get; set;
object parser_dyn get; set;
PythonFunctionContainer train_one_epoch_fn get;
IList<string> unparsed get; set;
object unparsed_dyn get; set;
Public fields
PythonClassContainer FLAGS
return PythonClassContainer
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