tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.graph

tf.contrib.distributions.LaplaceWithSoftplusScale.mode(name='mode') Mode.

tf.contrib.distributions.BetaWithSoftplusAB.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.MultivariateNormalCholesky.log_survival_function(value, name='log_survival_function') Log survival function

class tf.nn.rnn_cell.GRUCell Gated Recurrent Unit cell (cf.

tf.contrib.distributions.Binomial.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.metrics.streaming_sensitivity_at_specificity(predictions, labels, specificity, weights=None, num_thresholds=200, metrics_collections=None, updates_collections=None

tf.contrib.distributions.WishartCholesky.cholesky_input_output_matrices Boolean indicating if Tensor input/outputs

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.loss(final_loss, name='Loss')

tf.Session.close() Closes this session. Calling this method frees all resources associated with