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

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

2016-10-14 12:44:29
tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.value_type

2016-10-14 12:43:19
tf.contrib.bayesflow.stochastic_tensor.GammaTensor.mean()

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

2016-10-14 12:43:32
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.value()

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

2016-10-14 12:44:01
tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.declare_inputs()

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.declare_inputs(unused_stochastic_tensor, unused_inputs_dict)

2016-10-14 12:44:20
tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.value()

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

2016-10-14 12:44:28
tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.dtype

2016-10-14 12:43:52
tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.popped_above()

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.popped_above(unused_value_type)

2016-10-14 12:44:20
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.mean()

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

2016-10-14 12:43:58
tf.contrib.bayesflow.stochastic_tensor.NormalTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.dtype

2016-10-14 12:44:07