tf.contrib.distributions.Multinomial.log_survival_function(value, name='log_survival_function') Log survival function.

tf.string_join(inputs, separator=None, name=None) Joins the strings in the given list of string tensors into one tensor;

tf.contrib.learn.LinearRegressor.__repr__()

tf.image.per_image_whitening(image) Linearly scales image to have zero mean and unit norm. This

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

tf.contrib.distributions.Distribution.__init__(dtype, parameters, is_continuous, is_reparameterized, validate_args, allow_nan_stats, name=None)

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

tf.contrib.crf.CrfForwardRnnCell.state_size

tf.contrib.metrics.streaming_mean_cosine_distance(predictions, labels, dim, weights=None, metrics_collections=None, updates_collections=None, name=None)

tf.nn.rnn_cell.GRUCell.state_size