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

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.is_reparameterized

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tensorflow::Env::GetFileSystemForFile()
  • References/Big Data/TensorFlow/TensorFlow C++/Env

Status tensorflow::Env::GetFileSystemForFile(const string &fname, FileSystem **result) Returns the FileSystem object to handle

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tf.contrib.learn.monitors.NanLoss.post_step()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.NanLoss.post_step(step, session)

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Ops
  • References/Big Data/TensorFlow/TensorFlow Python/Metrics

Contents Metrics (contrib)Ops for evaluation metrics and summary statistics.API Metric Ops tf

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

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.loss(final_loss, name='Loss')

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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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