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

class tf.contrib.learn.Estimator Estimator class is the basic TensorFlow model trainer/evaluator.

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tensorflow::Tensor::shape()
  • References/Big Data/TensorFlow/TensorFlow C++/Tensor

const TensorShape& tensorflow::Tensor::shape() const Returns the shape of the tensor.

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

tf.FixedLenSequenceFeature.__getnewargs__() Return self as a plain tuple. Used by copy and pickle.

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tf.contrib.distributions.Gamma.std()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Gamma.std(name='std') Standard deviation.

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

tf.python_io.TFRecordWriter.__enter__() Enter a with block.

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tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.input_dict
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.input_dict

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

tf.contrib.graph_editor.detach_outputs(sgv, control_outputs=None) Detach the outputa of a subgraph view.

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

tf.contrib.graph_editor.ph(dtype, shape=None, scope=None) Create a tf.placeholder for the Graph Editor. Note

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

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

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tf.image.random_contrast()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.random_contrast(image, lower, upper, seed=None) Adjust the contrast of an image by a random factor.

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