tf.nn.rnn_cell.MultiRNNCell.__init__(cells, state_is_tuple=True) Create a RNN cell composed sequentially of a number of RNNCells

tf.contrib.distributions.WishartCholesky.cholesky_input_output_matrices Boolean indicating if Tensor input/outputs

tf.contrib.metrics.auc_using_histogram(boolean_labels, scores, score_range, nbins=100, collections=None, check_shape=True, name=None) AUC

tf.Session.reset(target, containers=None, config=None) Resets resource containers on target, and close all connected

tf.truediv(x, y, name=None) Divides x / y elementwise, always producing floating point results. The

tf.contrib.framework.deprecated(date, instructions) Decorator for marking functions or methods deprecated. This

tf.minimum(x, y, name=None) Returns the min of x and y (i.e. x < y ? x : y) element-wise. NOTE:

tf.errors.InternalError.__init__(node_def, op, message) Creates an InternalError.

tf.nn.rnn_cell.MultiRNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

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