tf.contrib.rnn.CoupledInputForgetGateLSTMCell.output_size

tf.contrib.rnn.LSTMBlockCell.output_size

tf.contrib.learn.DNNClassifier.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None) See evaluable.Evaluable.

tf.contrib.rnn.LSTMBlockCell.state_size

tf.contrib.rnn.LSTMBlockCell.__call__(x, states_prev, scope=None) Long short-term memory cell (LSTM).

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.clone(name=None, **dist_args)

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

tf.errors.FailedPreconditionError.__init__(node_def, op, message) Creates a FailedPreconditionError.

class tf.errors.PermissionDeniedError Raised when the caller does not have permission to run an operation. For example, running the tf.WholeFileReader.read() operation could raise PermissionDeniedError if it receives the name of a file for which the user does not have the read file permission.

tf.contrib.learn.monitors.NanLoss.__init__(loss_tensor, every_n_steps=100, fail_on_nan_loss=True) Initializes NanLoss monitor. Args: loss_tensor: Tensor, the loss tensor. every_n_steps: int, run check every this many steps. fail_on_nan_loss: bool, whether to raise exception when loss is NaN.