tf.contrib.distributions.ExponentialWithSoftplusLam.pdf(value, name='pdf') Probability density function.

tf.QueueBase.from_list(index, queues) Create a queue using the queue reference from queues[index].

tf.contrib.learn.monitors.StopAtStep.begin(max_steps=None) Called at the beginning of training. When

tf.contrib.graph_editor.select_ops_and_ts(*args, **kwargs) Helper to select operations and tensors. Args:

tf.inv(x, name=None) Computes the reciprocal of x element-wise. I.e., \(y = 1 / x\).

tf.contrib.distributions.Categorical.__init__(logits, dtype=tf.int32, validate_args=False, allow_nan_stats=True, name='Categorical') Initialize

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.rnn.LSTMBlockCell.__init__(num_units, forget_bias=1.0, use_peephole=False) Initialize the basic LSTM cell.

tf.contrib.distributions.ExponentialWithSoftplusLam.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of