tf.contrib.distributions.WishartFull.entropy()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.MultivariateNormalFull.is_reparameterized
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalFull.is_reparameterized

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tf.contrib.distributions.Gamma.name
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Gamma.name Name prepended to all ops created by this Distribution.

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tf.image.random_contrast()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.random_contrast(image, lower, upper, seed=None) Adjust the contrast of an image by a random factor.

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tf.contrib.distributions.Beta.allow_nan_stats
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Beta.allow_nan_stats Python boolean describing behavior when a stat is undefined. Stats

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tf.contrib.distributions.Exponential.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.learn.monitors.LoggingTrainable.begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.LoggingTrainable.begin(max_steps=None) Called at the beginning of training. When

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tf.contrib.learn.LinearClassifier.get_estimator()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.LinearClassifier.get_estimator()

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tf.contrib.learn.TensorFlowEstimator.get_params()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.TensorFlowEstimator.get_params(deep=True) Get parameters for this estimator. Args:

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tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.input_dict
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.input_dict

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