tf.contrib.bayesflow.stochastic_tensor.NormalTensor.name

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.name

2016-10-14 12:44:09
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.input_dict

2016-10-14 12:43:55
tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.input_dict

2016-10-14 12:43:21
tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.entropy()

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

2016-10-14 12:44:37
tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.distribution

2016-10-14 12:43:51
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.loss()

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

2016-10-14 12:43:55
tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.clone()

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.clone(name=None, **dist_args)

2016-10-14 12:43:17
tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.graph

tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.graph

2016-10-14 12:43:26
tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.mean()

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

2016-10-14 12:43:53
tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.loss()

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

2016-10-14 12:43:40