tf.is_numeric_tensor()
  • References/Big Data/TensorFlow/TensorFlow Python/Asserts and boolean checks.

tf.is_numeric_tensor(tensor)

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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:

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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.

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

tf.FixedLenFeature.dtype Alias for field number 1

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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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tf.TensorArray.scatter()
  • References/Big Data/TensorFlow/TensorFlow Python/TensorArray Operations

tf.TensorArray.scatter(indices, value, name=None) Scatter the values of a Tensor in specific indices of a TensorArray

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

class tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev MultivariateNormalDiag with diag_stddev = softpl

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