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

tf.contrib.graph_editor.transform_op_if_inside_handler(info, op, keep_if_possible=True) Transform an optional op only if it is

2025-01-10 15:47:30
tf.contrib.distributions.Multinomial.cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

2025-01-10 15:47:30
tf.contrib.distributions.Beta
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

class tf.contrib.distributions.Beta Beta distribution. This distribution is parameterized by a

2025-01-10 15:47:30
tf.OpError.
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

tf.OpError.__str__()

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

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

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

class tf.RandomShuffleQueue A queue implementation that dequeues elements in a random order. See

2025-01-10 15:47:30
tf.contrib.distributions.Distribution.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.metrics.streaming_recall_at_k()
  • References/Big Data/TensorFlow/TensorFlow Python/Metrics

tf.contrib.metrics.streaming_recall_at_k(*args, **kwargs) Computes the recall@k of the predictions with respect to dense labels

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tensorflow::Tensor::flat_outer_dims()
  • References/Big Data/TensorFlow/TensorFlow C++/Tensor

TTypes< T, NDIMS >::ConstTensor tensorflow::Tensor::flat_outer_dims() const

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.clone(name=None, **dist_args)

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