tf.contrib.distributions.Bernoulli.log_cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Bernoulli.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

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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.distributions.InverseGamma.validate_args
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.InverseGamma.validate_args Python boolean indicated possibly expensive checks are enabled.

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tf.nn.rnn_cell.GRUCell.state_size
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.GRUCell.state_size

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tf.contrib.distributions.Laplace.scale
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Laplace.scale Distribution parameter for scale.

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tf.contrib.learn.monitors.StepCounter.every_n_step_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.StepCounter.every_n_step_end(current_step, outputs)

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

class tf.contrib.bayesflow.stochastic_tensor.BinomialTensor BinomialTensor is a StochasticTensor backed

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tf.contrib.distributions.MultivariateNormalFull.is_reparameterized
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalFull.is_reparameterized

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tf.python_io.TFRecordWriter.
  • References/Big Data/TensorFlow/TensorFlow Python/Data IO

tf.python_io.TFRecordWriter.__enter__() Enter a with block.

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

tf.contrib.framework.with_shape(expected_shape, tensor) Asserts tensor has expected shape. If

2025-01-10 15:47:30