tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.loss()

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.loss(final_loss, name='Loss')

2016-10-14 12:43:06
tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.value()

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.value(name='value')

2016-10-14 12:44:16
tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.entropy()

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

2016-10-14 12:44:26
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.mean()

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

2016-10-14 12:44:00
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.input_dict

2016-10-14 12:43:57
tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.__init__(n=1, stop_gradient=False) Sample n times and

2016-10-14 12:44:21
tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.input_dict

2016-10-14 12:43:23
tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.entropy()

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

2016-10-14 12:43:09
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.input_dict

2016-10-14 12:44:10
tf.contrib.bayesflow.stochastic_tensor.GammaTensor.entropy()

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

2016-10-14 12:43:31