tf.nn.rnn_cell.InputProjectionWrapper.__init__(cell, num_proj, input_size=None) Create a cell with input projection.

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

TTypes< T >::ConstScalar tensorflow::Tensor::scalar() const

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)