tf.contrib.distributions.Chi2.cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.cdf(value, name='cdf') Cumulative distribution function. Given random

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tf.contrib.learn.monitors.CaptureVariable.epoch_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.CaptureVariable.epoch_begin(epoch) Begin epoch. Args:

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

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

2025-01-10 15:47:30
tf.contrib.distributions.MultivariateNormalCholesky.log_pdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalCholesky.log_pdf(value, name='log_pdf') Log probability density function.

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tf.python_io.TFRecordWriter.write()
  • References/Big Data/TensorFlow/TensorFlow Python/Data IO

tf.python_io.TFRecordWriter.write(record) Write a string record to the file. Args:

2025-01-10 15:47:30
tf.contrib.learn.monitors.EveryN.post_step()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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

tf.contrib.learn.TensorFlowRNNClassifier.weights_ Returns weights of the rnn layer.

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

tf.contrib.graph_editor.SubGraphView.is_passthrough(t) Check whether a tensor is passthrough.

2025-01-10 15:47:30
tf.FixedLenFeature.dtype
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FixedLenFeature.dtype Alias for field number 1

2025-01-10 15:47:30
tf.contrib.distributions.BetaWithSoftplusAB.param_static_shapes()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.BetaWithSoftplusAB.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

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