The final release of TensorFlow v1.3 is now available. This release marks the initial availability of several canned estimators including DNNClassifier and DNNRegressor.
The final release of TensorFlow v1.3 is now available. This release of TensorFlow marks the initial availability of several canned estimators, including:
The tfestimators package provides a high level R interface for these estimators.
Full details on the release of TensorFlow v1.3 are available here: https://github.com/tensorflow/tensorflow/releases/tag/v1.3.0
You can update your R installation of TensorFlow using the install_tensorflow function:
library(tensorflow)
install_tensorflow()Note that you should also provide any options used in your original installation (e.g. method = "conda", version = "gpu", etc. )
TensorFlow v1.3 is built against version 6.0 of the cuDNN library from NVIDIA. Previous versions were built against cuDNN v5.1, so for installations running the GPU version of TensorFlow this means that you will need to install an updated version of cuDNN along with TensorFlow v1.3.
Updated installation instructions are available here: https://tensorflow.rstudio.com/tensorflow/installation_gpu.html.
Version 1.4 of TensorFlow is expected to migrate again to version 7.0 of cuDNN.
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Allaire (2017, Aug. 17). RStudio AI Blog: TensorFlow v1.3 Released. Retrieved from https://blogs.rstudio.com/tensorflow/posts/2017-08-17-tensorflow-v13-released/
BibTeX citation
@misc{allaire2017tensorflow,
author = {Allaire, J.J.},
title = {RStudio AI Blog: TensorFlow v1.3 Released},
url = {https://blogs.rstudio.com/tensorflow/posts/2017-08-17-tensorflow-v13-released/},
year = {2017}
}