tfruns-tools-for-tensorflow-training-runs

Our example training script (mnist_mlp.R) trains a Keras model to recognize MNIST digits. To train a model with tfruns, just use the training_run() function in place of the source() function to execute your R script. The metrics and output of each run are automatically captured within a run directory which is unique for each run that you initiate. You can call the latest_run() function to view the results of the last run (including the path to the run directory which stores all of the run's output): The run directory used in the example above is "runs/2017-10-02T14-23-38Z".