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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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tf.nn.rnn_cell.MultiRNNCell
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

class tf.nn.rnn_cell.MultiRNNCell RNN cell composed sequentially of multiple simple cells.

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

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

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tf.contrib.distributions.BaseDistribution.sample_n()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.BaseDistribution.sample_n(n, seed=None, name='sample') Generate n samples.

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

tf.contrib.framework.assign_from_values(var_names_to_values) Creates an assignment operation from a given mapping.

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

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

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tf.test.assert_equal_graph_def()
  • References/Big Data/TensorFlow/TensorFlow Python/Testing

tf.test.assert_equal_graph_def(actual, expected) Asserts that two GraphDefs are (mostly) the same.

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tf.contrib.distributions.LaplaceWithSoftplusScale.log_pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.LaplaceWithSoftplusScale.log_pmf(value, name='log_pmf') Log probability mass function.

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tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.pmf(value, name='pmf') Probability mass function.

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tf.ReaderBase.read_up_to()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.ReaderBase.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader.

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