tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.dtype

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

tf.Session.reset(target, containers=None, config=None) Resets resource containers on target, and close all connected

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

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

tf.contrib.distributions.Gamma.pmf(value, name='pmf') Probability mass function. Args:

class tf.FixedLenSequenceFeature Configuration for a dense input feature in a sequence item. To

tf.nn.rnn_cell.OutputProjectionWrapper.zero_state(batch_size, dtype) Return zero-filled state tensor(s).

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

tf.nn.rnn_cell.BasicRNNCell.__init__(num_units, input_size=None, activation=tanh)