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

tf.contrib.learn.monitors.SummarySaver.set_estimator(estimator)

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

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

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

tf.contrib.distributions.WishartFull.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

2025-01-10 15:47:30
tf.contrib.graph_editor.SubGraphView.
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.SubGraphView.__nonzero__() Allows for implicit boolean conversion.

2025-01-10 15:47:30
tensorflow::SessionOptions::SessionOptions()
  • References/Big Data/TensorFlow/TensorFlow C++/SessionOptions

tensorflow::SessionOptions::SessionOptions()

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

tf.contrib.distributions.Dirichlet.mode(name='mode') Mode. Additional documentation from

2025-01-10 15:47:30
tf.contrib.util.ops_used_by_graph_def()
  • References/Big Data/TensorFlow/TensorFlow Python/Utilities

tf.contrib.util.ops_used_by_graph_def(graph_def) Collect the list of ops used by a graph. Does

2025-01-10 15:47:30
tf.imag()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.imag(input, name=None) Returns the imaginary part of a complex number. Given a tensor input

2025-01-10 15:47:30
tensorflow::Tensor::flat_outer_dims()
  • References/Big Data/TensorFlow/TensorFlow C++/Tensor

TTypes< T, NDIMS >::ConstTensor tensorflow::Tensor::flat_outer_dims() const

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

tf.contrib.distributions.StudentT.log_prob(value, name='log_prob') Log probability density/mass function (depending on

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