The ultimate launch of TensorFlow v1.3 is now obtainable. 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 deal gives a excessive degree R interface for these estimators.

Full particulars on the discharge of TensorFlow v1.3 can be found right here: https://github.com/tensorflow/tensorflow/releases/tag/v1.3.0

You’ll be able to replace your R set up of TensorFlow utilizing the install_tensorflow perform:

library(tensorflow)
install_tensorflow()

TensorFlow v1.3 is constructed towards model 6.0 of the 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: https://tensorflow.rstudio.com/tensorflow/installation_gpu.html.

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

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Quotation

For attribution, please cite this work as

Allaire (2017, Aug. 17). Posit AI Weblog: TensorFlow v1.3 Launched. Retrieved from https://blogs.rstudio.com/tensorflow/posts/2017-08-17-tensorflow-v13-released/

BibTeX quotation

@misc{allaire2017tensorflow,
  creator = {Allaire, J.J.},
  title = {Posit AI Weblog: TensorFlow v1.3 Launched},
  url = {https://blogs.rstudio.com/tensorflow/posts/2017-08-17-tensorflow-v13-released/},
  12 months = {2017}
}