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

tf.image.grayscale_to_rgb(images, name=None) Converts one or more images from Grayscale to RGB. Outputs

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

tf.contrib.distributions.Normal.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

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tf.contrib.metrics.streaming_recall()
  • References/Big Data/TensorFlow/TensorFlow Python/Metrics

tf.contrib.metrics.streaming_recall(*args, **kwargs) Computes the recall of the predictions with respect to the labels. (deprecated

2025-01-10 15:47:30
tf.image.resize_area()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.resize_area(images, size, align_corners=None, name=None) Resize images to size using area interpolation

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

class tf.contrib.learn.TensorFlowRNNClassifier TensorFlow RNN Classifier model.

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

tf.contrib.distributions.Chi2.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous)

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tf.WholeFileReader.num_records_produced()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.WholeFileReader.num_records_produced(name=None) Returns the number of records this reader has produced. This

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tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.graph
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.StochasticTensor.graph

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

tf.contrib.graph_editor.get_walks_intersection_ops(forward_seed_ops, backward_seed_ops, forward_inclusive=True, backward_inclusive=True, within_ops=None, control_inputs=False

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tf.contrib.learn.extract_pandas_data()
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.extract_pandas_data(data) Extract data from pandas.DataFrame for predictors. Given

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