tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.value_type

2016-10-14 12:44:25
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.graph

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.graph

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

tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.value_type

2016-10-14 12:44:30
tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.graph

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.graph

2016-10-14 12:43:15
tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.loss()

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

2016-10-14 12:43:26
tf.contrib.bayesflow.stochastic_tensor.NormalTensor.value()

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

2016-10-14 12:44:09
tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.graph

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.graph

2016-10-14 12:42:54
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.loss()

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

2016-10-14 12:44:11
tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.distribution

2016-10-14 12:44:39
tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.value()

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

2016-10-14 12:44:14