tf.contrib.distributions.QuantizedDistribution.prob(value, name='prob') Probability density/mass function (depending on
tf.contrib.losses.cosine_distance(predictions, targets, dim, weight=1.0, scope=None) Adds a cosine-distance loss to the training
tf.contrib.distributions.BetaWithSoftplusAB.event_shape(name='event_shape') Shape of a single sample from a single batch as a
tf.contrib.distributions.GammaWithSoftplusAlphaBeta.mean(name='mean') Mean.
tf.contrib.learn.TensorFlowRNNRegressor.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None)
class tf.RandomShuffleQueue A queue implementation that dequeues elements in a random order. See
tf.contrib.graph_editor.compute_boundary_ts(ops, ambiguous_ts_are_outputs=True) Compute the tensors at the boundary of a set of
tf.contrib.distributions.Distribution.mode(name='mode') Mode.
tf.contrib.learn.monitors.StepCounter.epoch_end(epoch) End epoch. Args:
tf.nn.rnn_cell.OutputProjectionWrapper.zero_state(batch_size, dtype) Return zero-filled state tensor(s).
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