tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.distribution

2016-10-14 12:43:17
tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.input_dict

2016-10-14 12:43:15
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.graph

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.graph

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.value_type

2016-10-14 12:43:56
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.value_type

2016-10-14 12:44:06
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.mean()

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

2016-10-14 12:44:05
tf.contrib.bayesflow.stochastic_tensor.BetaTensor.value()

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

2016-10-14 12:43:04
tf.contrib.bayesflow.stochastic_tensor.NormalTensor.loss()

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

2016-10-14 12:44:08
tf.contrib.bayesflow.stochastic_tensor.UniformTensor.clone()

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.clone(name=None, **dist_args)

2016-10-14 12:44:33
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.distribution

2016-10-14 12:44:02