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

tf.ReaderBase.supports_serialize Whether the Reader implementation can serialize its state.

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

tf.FixedLenSequenceFeature.__getstate__() Exclude the OrderedDict from pickling

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

tf.FixedLenSequenceFeature.__repr__() Return a nicely formatted representation string

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tf.test.assert_equal_graph_def()
  • References/Big Data/TensorFlow/TensorFlow Python/Testing

tf.test.assert_equal_graph_def(actual, expected) Asserts that two GraphDefs are (mostly) the same.

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tf.contrib.crf.viterbi_decode()
  • References/Big Data/TensorFlow/TensorFlow Python/CRF

tf.contrib.crf.viterbi_decode(score, transition_params) Decode the highest scoring sequence of tags outside of TensorFlow.

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.name

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tf.nn.rnn_cell.RNNCell.zero_state()
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.RNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

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tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mu
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mu Locations of these Student's t distribution(s).

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

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

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

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

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