tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.name

tf.contrib.distributions.Poisson.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.Gamma.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

tf.contrib.distributions.DirichletMultinomial.is_reparameterized

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

tf.contrib.distributions.LaplaceWithSoftplusScale.is_continuous

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.__init__(df, mu, sigma, validate_args=False, allow_nan_stats=True, name='StudentTWithAbsDfSoftplusSigma')

tf.contrib.rnn.TimeFreqLSTMCell.output_size

tf.PriorityQueue.__init__(capacity, types, shapes=None, names=None, shared_name=None, name='priority_queue') Creates a queue that

tf.segment_min(data, segment_ids, name=None) Computes the minimum along segments of a tensor. Read