tf.contrib.distributions.Beta.pdf(value, name='pdf') Probability density function. Args:

tf.nn.rnn_cell.MultiRNNCell.__init__(cells, state_is_tuple=True) Create a RNN cell composed sequentially of a number of RNNCells

tf.contrib.distributions.QuantizedDistribution.mode(name='mode') Mode.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sigma Scaling factors of these Student's t distribution(s).

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

tf.contrib.distributions.Binomial.mode(name='mode') Mode. Additional documentation from

tf.contrib.distributions.Multinomial.cdf(value, name='cdf') Cumulative distribution function. Given

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

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.distribution

Contents Metrics (contrib)Ops for evaluation metrics and summary statistics.API Metric Ops tf