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

class tf.errors.ResourceExhaustedError Some resource has been exhausted. For example, this error

class tf.TensorArray Class wrapping dynamic-sized, per-time-step, write-once Tensor arrays. This

tf.ReaderBase.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader.

tf.contrib.distributions.QuantizedDistribution.mode(name='mode') Mode.

tf.get_session_handle(data, name=None) Return the handle of data. This is EXPERIMENTAL

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

tf.contrib.learn.TensorFlowEstimator.get_variable_value(name) Returns value of the variable given by name.

tf.contrib.learn.DNNClassifier.fit(x=None, y=None, input_fn=None, steps=None, batch_size=None, monitors=None, max_steps=None) See

tf.SparseTensor.eval(feed_dict=None, session=None) Evaluates this sparse tensor in a Session.