tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor.mean(name='mean')

tf.contrib.rnn.LayerNormBasicLSTMCell.__init__(num_units, forget_bias=1.0, input_size=None, activation=tanh, layer_norm=True, norm_gain=1.0, norm_shift=0.0, dropout_keep_prob=1

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.mean(name='mean')

class tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma StudentT with df = floor(abs(df)) and sigma =

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

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.distributions.LaplaceWithSoftplusScale.allow_nan_stats Python boolean describing behavior when a stat is undefined

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.value_type

tf.contrib.framework.deprecated(date, instructions) Decorator for marking functions or methods deprecated. This