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

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

2016-10-14 12:43:24
tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.input_dict

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

class tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor MultivariateNormalDiagPlusVDVTTensor

2016-10-14 12:43:56
tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.dtype

2016-10-14 12:43:23
tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.value()

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.value(name=None)

2016-10-14 12:42:55
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.value()

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

2016-10-14 12:44:06
tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.value()

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.value(name='value')

2016-10-14 12:43:16
tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.distribution

2016-10-14 12:43:40
tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.entropy()

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.entropy(name='entropy')

2016-10-14 12:43:17
tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.loss()

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

2016-10-14 12:43:38