tf.contrib.learn.NanLossDuringTrainingError.__str__()

tf.contrib.learn.monitors.GraphDump.step_begin(step)

tf.contrib.distributions.BernoulliWithSigmoidP.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Mixture.variance(name='variance') Variance.

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.entropy(name='entropy')

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.distribution

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

class tf.contrib.learn.monitors.GraphDump Dumps almost all tensors in the graph at every step. Note

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

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