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R Deep Learning Essentials - Second Edition
book

R Deep Learning Essentials - Second Edition

by Mark Hodnett, Joshua F. Wiley
August 2018
Intermediate to advanced
378 pages
9h 9m
English
Packt Publishing
Content preview from R Deep Learning Essentials - Second Edition

TensorFlow estimators

TensorFlow estimators allow you to build TensorFlow models using a simpler API interface. In R, the tfestimators package allows you to call this API. There are different model types, including linear models and neural networks. The following estimators are available:

  • linear_regressor() for linear regression
  • linear_classifier() for linear classification
  • dnn_regressor() for deep neural network regression
  • dnn_classifier() for deep neural network classification
  • dnn_linear_combined_regressor() for deep neural network linear combined regression
  • dnn_linear_combined_classifier() for deep neural network linear combined classification

Estimators hide a lot of the detail in creating a deep learning model, including building the ...

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Publisher Resources

ISBN: 9781788992893Supplemental Content