tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.name

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.name

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.mean()

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.mean(name='mean')

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.loss()

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.graph

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.graph

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.entropy()

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.clone()

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor

class tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor LaplaceWithSoftplusScaleTensor is a StochasticTensor backed by the distribution LaplaceWithSoftplusScale.