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)

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

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

tf.nn.rnn_cell.LSTMStateTuple.c Alias for field number 0

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

tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.name

tf.contrib.distributions.Exponential.is_continuous

tf.SparseTensor.eval(feed_dict=None, session=None) Evaluates this sparse tensor in a Session.

class tf.contrib.bayesflow.stochastic_tensor.DirichletTensor DirichletTensor is a StochasticTensor backed