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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tf.contrib.distributions.Uniform.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Uniform.mean(name='mean') Mean.

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tf.contrib.distributions.MultivariateNormalFull.mode()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalFull.mode(name='mode') Mode.

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

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

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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.learn.Estimator.get_variable_value()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.Estimator.get_variable_value(name) Returns value of the variable given by name. Args:

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tf.contrib.training.bucket()
  • References/Big Data/TensorFlow/TensorFlow Python/Training

tf.contrib.training.bucket(tensors, which_bucket, batch_size, num_buckets, num_threads=1, capacity=32, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False

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