tf.contrib.learn.BaseEstimator.config
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.BaseEstimator.config

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tf.accumulate_n()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.accumulate_n(inputs, shape=None, tensor_dtype=None, name=None) Returns the element-wise sum of a list of tensors.

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tf.FixedLenSequenceFeature.dtype
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FixedLenSequenceFeature.dtype Alias for field number 1

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

tf.contrib.learn.monitors.LoggingTrainable.__init__(scope=None, every_n=100, first_n=1) Initializes LoggingTrainable monitor.

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

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

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tf.VarLenFeature.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.VarLenFeature.__repr__() Return a nicely formatted representation string

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tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.mean(name='mean')

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

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

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

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.value_type

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tf.contrib.graph_editor.matcher.output_ops()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.matcher.output_ops(*args) Add output matches.

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