tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.value()

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

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tf.contrib.bayesflow.stochastic_tensor.UniformTensor.name

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.name

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tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.dtype

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tf.contrib.bayesflow.stochastic_tensor.MeanValue.stop_gradient

tf.contrib.bayesflow.stochastic_tensor.MeanValue.stop_gradient

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

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

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tf.contrib.bayesflow.stochastic_tensor.MeanValue.

tf.contrib.bayesflow.stochastic_tensor.MeanValue.__init__(stop_gradient=False)

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tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor

class tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor BernoulliWithSigmoidPTensor is a

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tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.value_type

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tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.graph

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.graph

2016-10-14 12:43:57