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

class tf.contrib.distributions.Bernoulli Bernoulli distribution. The Bernoulli distribution is

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tf.TFRecordReader.reset()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.TFRecordReader.reset(name=None) Restore a reader to its initial clean state. Args:

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tf.contrib.learn.monitors.GraphDump.step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.GraphDump.step_begin(step)

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tf.SparseTensor.from_value()
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.SparseTensor.from_value(cls, sparse_tensor_value)

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tf.contrib.training.SequenceQueueingStateSaver.barrier
  • References/Big Data/TensorFlow/TensorFlow Python/Training

tf.contrib.training.SequenceQueueingStateSaver.barrier

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tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.dtype
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.dtype

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

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

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tf.contrib.bayesflow.stochastic_tensor.GammaTensor.distribution
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.GammaTensor.distribution

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tensorflow::SessionOptions::env
  • References/Big Data/TensorFlow/TensorFlow C++/SessionOptions

Env* tensorflow::SessionOptions::env The environment to use.

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tf.contrib.distributions.Dirichlet.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Dirichlet.mode(name='mode') Mode. Additional documentation from

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