tf.nn.rnn_cell.BasicRNNCell.state_size

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

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

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

tf.contrib.distributions.Binomial.is_continuous

tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)

tf.contrib.distributions.Categorical.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.value_type

tf.contrib.distributions.QuantizedDistribution.variance(name='variance') Variance.