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

tf.nn.rnn_cell.BasicLSTMCell.__call__(inputs, state, scope=None) Long short-term memory cell (LSTM).

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

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

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

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

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

tf.FixedLenSequenceFeature.__new__(_cls, shape, dtype, allow_missing=False) Create new instance of FixedLenSequenceFeature(shape

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

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

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tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_batch_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_batch_shape() Shape of a single sample from a single event index as

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

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

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

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

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

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

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tf.contrib.distributions.InverseGamma.log_pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.InverseGamma.log_pmf(value, name='log_pmf') Log probability mass function. Args:

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