Monthly Archives: February 2019

Super quick guide to starting keras job using AWS

You can follow my last post on how to set up all the drivers, docker, and jupyter to get your own keras/tensorflow up and running from a plain ubuntu machine.

But AWS provides an AMI that includes everything you need without the dockerization.

Simply launch a Deep Learning AMI. I used the following one.
Screen Shot 2019-02-09 at 5.58.29 PM

Then ssh into your machine and simply run

jupyter notebook --ip=0.0.0.0 --allow-root --NotebookApp.token=''

Point your browser to http://SERVER:8888/lab

And that’s it!

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