tf.contrib.learn.run_feeds()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.run_feeds(*args, **kwargs) See run_feeds_iter(). Returns a list instead of an iterator.

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tf.fft2d()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.fft2d(input, name=None) Compute the 2-dimensional discrete Fourier Transform over the inner-most 2

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

tf.contrib.distributions.Mixture.survival_function(value, name='survival_function') Survival function. Given

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tf.contrib.distributions.Mixture.get_event_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Mixture.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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tf.QueueBase.enqueue()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.QueueBase.enqueue(vals, name=None) Enqueues one element to this queue. If the queue is full

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tf.transpose()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.transpose(a, perm=None, name='transpose') Transposes a. Permutes the dimensions according to perm

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

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.value_type

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tf.TFRecordReader.read_up_to()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.TFRecordReader.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader

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

tf.IdentityReader.reader_ref Op that implements the reader.

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tf.contrib.training.NextQueuedSequenceBatch.
  • References/Big Data/TensorFlow/TensorFlow Python/Training

tf.contrib.training.NextQueuedSequenceBatch.__init__(state_saver)

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