The ultimate launch of TensorFlow v1.3 is now accessible. This launch of TensorFlow marks the preliminary availability of a number of canned estimators, together with:

  • DNNClassifier
  • DNNRegressor
  • LinearClassifier
  • LinearRegressor
  • DNNLinearCombinedClassifier
  • DNNLinearCombinedRegressor.

The tfestimators package offers a excessive stage R interface for these estimators.

Full particulars on the discharge of TensorFlow v1.3 can be found right here:

You possibly can replace your R set up of TensorFlow utilizing the install_tensorflow perform:

cuDNN library from NVIDIA. Earlier variations had been constructed towards cuDNN v5.1, so for installations working the GPU model of TensorFlow this implies that you will want to put in an up to date model of cuDNN together with TensorFlow v1.3.

Up to date set up directions can be found right here:

Model 1.4 of TensorFlow is predicted emigrate once more to model 7.0 of cuDNN.


Textual content and figures are licensed beneath Inventive Commons Attribution CC BY 4.0. The figures which have been reused from different sources do not fall beneath this license and will be acknowledged by a notice of their caption: “Determine from …”.


For attribution, please cite this work as

Allaire (2017, Aug. 17). Posit AI Weblog: TensorFlow v1.3 Launched. Retrieved from

BibTeX quotation

  writer = {Allaire, J.J.},
  title = {Posit AI Weblog: TensorFlow v1.3 Launched},
  url = {},
  yr = {2017}

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