tf.RandomShuffleQueue.__init__(capacity, min_after_dequeue, dtypes, shapes=None, names=None, seed=None, shared_name=None, name='random_shuffle_queue')

class tf.contrib.learn.monitors.EveryN Base class for monitors that execute callbacks every N steps. This

tf.contrib.distributions.Chi2.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.OpError.message The error message that describes the error.

tf.contrib.distributions.ExponentialWithSoftplusLam.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.Beta.a_b_sum Sum of parameters.

tf.contrib.graph_editor.ControlOutputs.__init__(graph) Create a dictionary of control-output dependencies.

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

tf.contrib.distributions.MultivariateNormalCholesky.mean(name='mean') Mean.

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