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

tf.contrib.learn.monitors.CheckpointSaver.__init__(checkpoint_dir, save_secs=None, save_steps=None, saver=None, checkpoint_basename='model.ckpt', scaffold=None)

tf.contrib.layers.one_hot_encoding(*args, **kwargs) Transform numeric labels into onehot_labels using tf.one_hot.

tf.contrib.learn.monitors.StopAtStep.epoch_end(epoch) End epoch. Args:

tf.contrib.learn.monitors.EveryN.epoch_end(epoch) End epoch. Args:

tf.contrib.graph_editor.ControlOutputs.update() Update the control outputs if the graph has changed.

class tf.errors.NotFoundError Raised when a requested entity (e.g., a file or directory) was not found. For

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.value_type

tf.contrib.distributions.WishartFull.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

tf.contrib.learn.monitors.StepCounter.set_estimator(estimator)