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

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

tf.contrib.distributions.Chi2WithAbsDf.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.learn.TensorFlowRNNClassifier.__init__(rnn_size, n_classes, cell_type='gru', num_layers=1, input_op_fn=null_input_op_fn, initial_state=None, bidirectional=False

tf.nn.rnn_cell.InputProjectionWrapper.__init__(cell, num_proj, input_size=None) Create a cell with input projection.

tf.add_n(inputs, name=None) Adds all input tensors element-wise. Args:

tf.nn.rnn_cell.BasicLSTMCell.__call__(inputs, state, scope=None) Long short-term memory cell (LSTM).

tf.contrib.learn.run_feeds(*args, **kwargs) See run_feeds_iter(). Returns a list instead of an iterator.

tf.contrib.learn.LinearClassifier.get_variable_names()

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