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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.is_reparameterized

tf.contrib.distributions.BernoulliWithSigmoidP.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.LaplaceWithSoftplusScale.pdf(value, name='pdf') Probability density function.

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

tf.contrib.training.NextQueuedSequenceBatch.sequence_count An int32 vector, length batch_size: the sequence count

tf.contrib.distributions.DirichletMultinomial.alpha Parameter defining this distribution.

tf.contrib.layers.separable_convolution2d(*args, **kwargs) Adds a depth-separable 2D convolution with optional batch_norm layer

tf.FixedLenFeature.default_value Alias for field number 2

tf.contrib.distributions.InverseGamma.is_continuous