tf.contrib.learn.TensorFlowRNNRegressor.config
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.TensorFlowRNNRegressor.config

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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.FIFOQueue.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FIFOQueue.__init__(capacity, dtypes, shapes=None, names=None, shared_name=None, name='fifo_queue') Creates a queue that dequeues

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tf.contrib.metrics.streaming_recall_at_k()
  • References/Big Data/TensorFlow/TensorFlow Python/Metrics

tf.contrib.metrics.streaming_recall_at_k(*args, **kwargs) Computes the recall@k of the predictions with respect to dense labels

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