tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.name

tf.contrib.learn.Estimator.__init__(model_fn=None, model_dir=None, config=None, params=None, feature_engineering_fn=None) Constructs

tf.contrib.distributions.Binomial.log_pmf(value, name='log_pmf') Log probability mass function. Args:

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.clone(name=None, **dist_args)

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

tf.contrib.learn.monitors.RunHookAdapterForMonitors.begin()

class tf.nn.rnn_cell.OutputProjectionWrapper Operator adding an output projection to the given cell. Note:

tf.contrib.rnn.TimeFreqLSTMCell.output_size

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

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