tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mean(name='mean') Mean.

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.entropy(name='entropy')

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_prob(value, name='log_prob') Log probability density/mass function

tf.contrib.distributions.Exponential.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.batch_shape(name='batch_shape') Shape of a single sample from a single

tf.contrib.distributions.ExponentialWithSoftplusLam.is_continuous

tf.contrib.graph_editor.SubGraphView.inputs The input tensors of this subgraph view.

tf.contrib.distributions.BetaWithSoftplusAB.log_prob(value, name='log_prob') Log probability density/mass function (depending

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.value(name='value')