The notebook below is the sixth of six notebooks demonstrating how to perform distributed training with TensorFlowOnSpark on the MNIST dataset. Click here to download the full set of notebooks, or see Distributed Deep Learning with TensorFlowOnSpark for more information.
This notebook runs TensorBoard on the driver, consuming event files from a directory on the driver’s local file system.
Congrats! You’ve reached the end of our tutorial on distributed deep learning with TensorFlowOnSpark.
We recommend trying out your own distributed deep learning workflows on Databricks. In addition to this guide, see the official TensorFlowOnSpark conversion guide for an overview of the code changes needed to convert a typical distributed Tensorflow program to one that can run with TensorFlowOnSpark.