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tf.contrib.distributions.NormalWithSoftplusSigma

class tf.contrib.distributions.NormalWithSoftplusSigma

Normal with softplus applied to sigma.

Links:

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

doc_TensorFlow

2016-10-14 13:00:22

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

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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.

tf.contrib.distributions.NormalWithSoftplusSigma.parameters tf.contrib.distributions.NormalWithSoftplusSigma.parameters Dictionary of parameters used by this Distribution.