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

tf.nn.rnn_cell.LSTMCell.__call__(inputs, state, scope=None) Run one step of LSTM. Args:

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tf.contrib.distributions.Chi2.name
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.name Name prepended to all ops created by this Distribution.

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tf.contrib.distributions.Normal.variance()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Normal.variance(name='variance') Variance.

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

tf.TFRecordReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

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tf.contrib.learn.monitors.ValidationMonitor.set_estimator()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.ValidationMonitor.set_estimator(estimator) A setter called automatically by the target estimator.

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

tf.FixedLenSequenceFeature.__new__(_cls, shape, dtype, allow_missing=False) Create new instance of FixedLenSequenceFeature(shape

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tf.contrib.framework.get_variables_by_name()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.get_variables_by_name(given_name, scope=None) Gets the list of variables that were given that name.

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tf.contrib.learn.monitors.ExportMonitor
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

class tf.contrib.learn.monitors.ExportMonitor Monitor that exports Estimator every N steps.

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tf.contrib.layers.summarize_tensor()
  • References/Big Data/TensorFlow/TensorFlow Python/Layers

tf.contrib.layers.summarize_tensor(tensor, tag=None) Summarize a tensor using a suitable summary type. This

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tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.batch_shape()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.batch_shape(name='batch_shape') Shape of a single sample from a single

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