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tf.contrib.distributions.NormalWithSoftplusSigma.parameters

tf.contrib.distributions.NormalWithSoftplusSigma.parameters

Dictionary of parameters used by this Distribution.

Links:

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

doc_TensorFlow

2016-10-14 13:00:27

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tf.contrib.distributions.NormalWithSoftplusSigma class tf.contrib.distributions.NormalWithSoftplusSigma Normal with softplus applied to sigma.

tf.contrib.distributions.NormalWithSoftplusSigma.sample() tf.contrib.distributions.NormalWithSoftplusSigma.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape. Note tha

tf.contrib.distributions.NormalWithSoftplusSigma.mu tf.contrib.distributions.NormalWithSoftplusSigma.mu Distribution parameter for the mean.

tf.contrib.distributions.NormalWithSoftplusSigma.__init__() tf.contrib.distributions.NormalWithSoftplusSigma.__init__(mu, sigma, validate_args=False, allow_nan_stats=True, name='NormalWithSoftplusSigma'

tf.contrib.distributions.NormalWithSoftplusSigma.variance() tf.contrib.distributions.NormalWithSoftplusSigma.variance(name='variance') Variance.