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

class tf.contrib.distributions.Exponential The Exponential distribution with rate parameter lam. The

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

tf.contrib.rnn.LayerNormBasicLSTMCell.__init__(num_units, forget_bias=1.0, input_size=None, activation=tanh, layer_norm=True, norm_gain=1.0, norm_shift=0.0, dropout_keep_prob=1

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

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.value_type

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

tf.contrib.distributions.DirichletMultinomial.log_pdf(value, name='log_pdf') Log probability density function.

tf.SparseTensor.__mul__(sp_x, y) Component-wise multiplies a SparseTensor by a dense Tensor. The

tf.contrib.distributions.Binomial.mode(name='mode') Mode. Additional documentation from