Deep learning training on Azure steps and tutorial

Question

Hi MSFT Community,

I followed this guide to set up a GPU: https://learn.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro

VM: Standard NC12_Promo, 12 vCPUs, 112 Gib RAM
Operating System: Linux
Offer: Ubuntu-1804

I am ready to start deep learning training but I am confused about what to do next. I am doing a medical image classification project. I have 1 millions images store in Azure blob now. Do I need to download them to my VM in order to train? Or is it a better way to access image efficiently?

What are some good tutorials to set up the experiments? I've read a lot of documentation but still confused.

Thank you very much!
Best Regards,
Claire

Answer 1

@gecheng
check on the below AI training modules.
https://aischool.microsoft.com/en-us/services/learning-paths

AI Lab
https://www.microsoft.com/en-us/ai/ai-lab-projects

AI module gallery
https://gallery.azure.ai/browse

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