tf.contrib.distributions.MultivariateNormalFull.prob(value, name='prob') Probability density/mass function (depending on

tf.contrib.losses.mean_squared_error(*args, **kwargs) Adds a Sum-of-Squares loss to the training procedure. (deprecated)

tf.contrib.distributions.Laplace.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.dtype The DType of Tensors handled by this

tf.contrib.distributions.Binomial.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.TransformedDistribution.entropy(name='entropy') Shanon entropy in nats.

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

tf.contrib.distributions.Dirichlet.is_reparameterized

tf.contrib.distributions.StudentT.sigma Scaling factors of these Student's t distribution(s).

tf.contrib.distributions.StudentT.variance(name='variance') Variance. Additional documentation