Login Register

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sigma_det()

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sigma_det(name='sigma_det')

Determinant of covariance matrix.

Links:

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

doc_TensorFlow

2016-10-14 12:58:56

Comments

Leave a Comment

Please login to continue.

Popular Articles

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sigma tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sigma Dense (batch) covariance matrix, if available.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.log_sigma_det() tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.log_sigma_det(name='log_sigma_det') Log of determinant of covariance matrix.

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.mean() tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.mean(name='mean') Mean.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sample() tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified