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02-server-instructions.md

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Setting up RStudio Cloud environment

  1. Go to http://rstd.io/class

  2. Workshop identifier: “deep_learn”

  3. A new page will open that provides you with:

    1. A URL to your RStudio server instance (i.e. http://ec2……)
    2. A username and password (they will look very generic)
  4. Click on the provided URL and log in with username and password

  5. Click on “New Session” - use default settings:

    • Session Name: RStudio Session
    • Editor: RStudio
    • Cluster: Local
  6. Click on the class-repo folder

  1. Click on the class-repo.Rproj to load the project. It will ask you if you want to open the project ~/class-repo…choose “Yes”

  1. Run the following code. If you are connected to GPUs then it will list them.
library(tensorflow)

tf$config$experimental$list_physical_devices()
  1. Course notebooks: You will work through the course notebooks located in the materials directory.