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

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sample(sample_shape=(), seed=None, name='sample') Generate samples of

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

tf.SparseTensor.graph The Graph that contains the index, value, and shape tensors.

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.dtype

tf.contrib.distributions.ExponentialWithSoftplusLam.alpha Shape parameter.

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

tf.contrib.distributions.Binomial.is_continuous