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

tf.contrib.learn.DNNRegressor.config

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

class tf.FIFOQueue A queue implementation that dequeues elements in first-in first-out order. See

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

Status tensorflow::Env::RegisterFileSystem(const string &scheme, FileSystemRegistry::Factory factory)

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

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

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tf.contrib.losses.cosine_distance()
  • References/Big Data/TensorFlow/TensorFlow Python/Losses

tf.contrib.losses.cosine_distance(predictions, targets, dim, weight=1.0, scope=None) Adds a cosine-distance loss to the training

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

tf.contrib.crf.crf_log_likelihood(inputs, tag_indices, sequence_lengths, transition_params=None) Computes the log-likehood of

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tf.contrib.graph_editor.sgv_scope()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.sgv_scope(scope, graph) Make a subgraph from a name scope. Args:

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

tf.contrib.learn.Estimator.__init__(model_fn=None, model_dir=None, config=None, params=None, feature_engineering_fn=None) Constructs

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

tf.nn.rnn_cell.LSTMCell.output_size

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

virtual void tensorflow::Env::SleepForMicroseconds(int64 micros)=0 Sleeps/delays the thread for the prescribed number of micro-seconds

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