tf.OpError
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

class tf.OpError A generic error that is raised when TensorFlow execution fails. Whenever possible

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

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

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tf.contrib.rnn.TimeFreqLSTMCell.
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.TimeFreqLSTMCell.__call__(inputs, state, scope=None) Run one step of LSTM. Args:

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

class tf.FixedLenSequenceFeature Configuration for a dense input feature in a sequence item. To

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tf.contrib.learn.monitors.StopAtStep.epoch_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.StopAtStep.epoch_end(epoch) End epoch. Args:

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

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

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tf.contrib.learn.monitors.SummarySaver.set_estimator()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.SummarySaver.set_estimator(estimator)

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

tf.contrib.graph_editor.compute_boundary_ts(ops, ambiguous_ts_are_outputs=True) Compute the tensors at the boundary of a set of

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

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

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tf.contrib.losses.get_regularization_losses()
  • References/Big Data/TensorFlow/TensorFlow Python/Losses

tf.contrib.losses.get_regularization_losses(scope=None) Gets the regularization losses. Args:

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