tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.graph

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.entropy(name='entropy')

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.clone(name=None, **dist_args)

class tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor NormalWithSoftplusSigmaTensor is a StochasticTensor backed by the distribution NormalWithSoftplusSigma.

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

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.value_type

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