Searched refs:regularization_loss (Results 1 – 4 of 4) sorted by relevance
330 regularization_loss = keras.backend.mean(sample_activations)331 unregularized_model.add_loss(regularization_loss)333 regularization_loss, aggregation='mean', name='regularization_loss')
451 def scale_regularization_loss(regularization_loss): argument485 return math_ops.reduce_sum(regularization_loss) / num_replicas
269 argspec: "args=[\'regularization_loss\'], varargs=None, keywords=None, defaults=None"
337 argspec: "args=[\'regularization_loss\'], varargs=None, keywords=None, defaults=None"