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tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.parameters

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.parameters

Dictionary of parameters used by this Distribution.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/contrib.distributions.html#MultivariateNormalDiagWithSoftplusStDev.parameters

doc_TensorFlow

2016-10-14 12:58:53

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tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev class tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev MultivariateNormalDiag with diag_stddev = softplus(diag_stddev).

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.mode() tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.mode(name='mode') Mode.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.entropy() tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.dtype tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.dtype The DType of Tensors handled by this Distribution.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.std() tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.std(name='std') Standard deviation.