Import and setup your community Databricks cluster to run 'sample' advanced ML jobs using either TensorFlow or MXNet.
- [Instructor] Now, in this movie,…I'm going to show you how to open and set up…the notebooks that I've created…to run the advanced machine learning algorithms…MXNet or TensorFlow can work…on the Community Edition of Databricks.…To do that, I'm going to go to my Workspace,…and I'll start with MXNet.…And I'm going to Import my MXNet notebook.…Now as I mentioned in the previous video,…you'll normally going to run this…on the commercial version of Databricks…because it requires or runs much better with a GPU,…so it's a more powerful machine.…
So, what we're going to do is, kind of,…a hack that I did, but it still runs,…this is a Bash script that installs…the MXNet dependencies in this cluster.…And I'll show you how to do that.…So the first thing that we're going to do…is we're going to run this script…and we have to attach it to our cluster…and it's installing MXNet and the dependencies.…Alright, that took four minutes,…so now, if you run the command to check, it's going to fail.…So let me go ahead and do that…and you can see it fails.…
Author
Released
7/5/2017- Relate which file system is typically used with Hadoop.
- Explain the differences between Apache and commercial Hadoop distributions.
- Cite how to set up IDE - VS Code + Python extension.
- Relate the value of Databricks community edition.
- Compare YARN vs. Standalone.
- Review various streaming options.
- Recall how to select your programming language.
- Describe the Databricks environment.
Skill Level Intermediate
Duration
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Video: MXNet or TensorFlow