The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The tfestimators package is an R interface to TensorFlow Estimators, a high-level API that provides:
Implementations of many different model types including linear models and deep neural networks. More models are coming soon such as state saving recurrent neural networks, dynamic recurrent neural networks, support vector machines, random forest, KMeans clustering, etc.
A flexible framework for defining arbitrary new model types as custom estimators.
Standalone deployment of models (no R runtime required) in a wide variety of environments.
An Experiment API that provides distributed training and hyperparameter tuning for both canned and custom estimators.
For documentation on using tfestimators, see the package website at https://tensorflow.rstudio.com/tfestimators/
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.