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

tf.contrib.framework.add_model_variable(var) Adds a variable to the GraphKeys.MODEL_VARIABLES collection.

tf.contrib.distributions.Beta.b Shape parameter.

tf.QueueBase.dequeue_up_to(n, name=None) Dequeues and concatenates n elements from this queue.

tf.train.range_input_producer(limit, num_epochs=None, shuffle=True, seed=None, capacity=32, shared_name=None, name=None) Produces

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

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

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mean(name='mean') Mean. Additional documentation

tf.contrib.distributions.InverseGamma.is_continuous