tf.contrib.distributions.Laplace.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='Laplace') Construct Laplace

tf.contrib.distributions.MultivariateNormalCholesky.is_continuous

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

class tf.contrib.distributions.Bernoulli Bernoulli distribution. The Bernoulli distribution is

tf.TFRecordReader.reset(name=None) Restore a reader to its initial clean state. Args:

tf.contrib.learn.monitors.GraphDump.step_begin(step)

tf.SparseTensor.from_value(cls, sparse_tensor_value)

tf.contrib.training.SequenceQueueingStateSaver.barrier

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.dtype

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