void tensorflow::Tensor::FillDescription(TensorDescription *description) const Fill in the TensorDescription proto

class tf.contrib.distributions.MultivariateNormalFull The multivariate normal distribution on R^k.

tf.contrib.distributions.WishartFull.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.name

tf.TFRecordReader.reset(name=None) Restore a reader to its initial clean state. Args:

tf.as_string(input, precision=None, scientific=None, shortest=None, width=None, fill=None, name=None) Converts each entry in the

tf.contrib.losses.mean_squared_error(*args, **kwargs) Adds a Sum-of-Squares loss to the training procedure. (deprecated)

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.input_dict

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

tf.contrib.learn.monitors.BaseMonitor.epoch_begin(epoch) Begin epoch. Args: