RStudio AI Weblog: TensorFlow v1.3 Launched

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

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

The tfestimators bundle supplies 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:

cuDNN library from NVIDIA. Earlier variations have been constructed towards cuDNN v5.1, so for installations working the GPU model of TensorFlow this implies that you’ll 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 anticipated emigrate once more to model 7.0 of cuDNN.

Reuse

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

Quotation

For attribution, please cite this work as

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

BibTeX quotation

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

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