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

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.entropy(name='entropy')

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

tf.TextLineReader.supports_serialize Whether the Reader implementation can serialize its state.

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

tf.cos(x, name=None) Computes cos of x element-wise. Args:

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

tf.contrib.distributions.Poisson.pdf(value, name='pdf') Probability density function. 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.NormalWithSoftplusSigma.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tensorflow::TensorShape::operator==()
  • References/Big Data/TensorFlow/TensorFlow C++/TensorShape

bool tensorflow::TensorShape::operator==(const TensorShape &b) const

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

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

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

tf.contrib.framework.assign_from_checkpoint(model_path, var_list) Creates an operation to assign specific variables from a checkpoint

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

tf.contrib.distributions.TransformedDistribution.mode(name='mode') Mode.

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