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

tf.PaddingFIFOQueue.__init__(capacity, dtypes, shapes, names=None, shared_name=None, name='padding_fifo_queue') Creates a queue

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

tf.contrib.distributions.InverseGamma.variance(name='variance') Variance. Additional documentation

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tf.contrib.distributions.Chi2.entropy()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.entropy(name='entropy') Shanon entropy in nats. Additional documentation

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

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

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

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.input_dict

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.value(name='value')

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tf.contrib.distributions.DirichletMultinomial.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.dtype
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.dtype

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tf.contrib.distributions.Chi2.cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.cdf(value, name='cdf') Cumulative distribution function. Given random

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

tf.contrib.distributions.Multinomial.pmf(value, name='pmf') Probability mass function. Args:

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