tf.contrib.distributions.Normal.sigma
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Normal.sigma Distribution parameter for standard deviation.

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tf.contrib.distributions.Normal.cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Normal.cdf(value, name='cdf') Cumulative distribution function. Given

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tf.contrib.framework.add_model_variable()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.add_model_variable(var) Adds a variable to the GraphKeys.MODEL_VARIABLES collection.

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

tf.contrib.distributions.Beta.b Shape parameter.

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tf.QueueBase.dequeue_up_to()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.QueueBase.dequeue_up_to(n, name=None) Dequeues and concatenates n elements from this queue.

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tf.train.range_input_producer()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.train.range_input_producer(limit, num_epochs=None, shuffle=True, seed=None, capacity=32, shared_name=None, name=None) Produces

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tf.contrib.distributions.ExponentialWithSoftplusLam.parameters
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.ExponentialWithSoftplusLam.sample()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.BernoulliWithSigmoidP.pdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.BernoulliWithSigmoidP.pdf(value, name='pdf') Probability density function. Args:

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tf.contrib.distributions.BetaWithSoftplusAB.sample()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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