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Remote development and debugging on the cloud (AWS/Azure/GCP) for Deep Learning / Computer Vision using Visual Studio Code (VS Code)
Learn how to do local machine like development and debugging on the cloud (remote instances) using Visual Studio Code for Deep Learning.
Before joining the industry, when I was working as a Graduate Researcher in the Vision and Image Processing Lab at the University of Waterloo, I had access to the beast NVIDIA® GeForce® RTX 2080 Ti locally. So I was able to train models locally without needing to use compute instances on the cloud. (Sadly I didn’t work on models that required multi GPU training.) However, after joining Fugro as a Deep Learning/ Computer Vision Engineer, I was exposed to AWS EC2 instances and S3.
Development on the cloud is a completely different experience compared to just using a laptop/desktop. I’ve learnt a lot about it from my experience and want to share it so that you may benefit from it too. Remote development is an essential skill to have and is all the more invaluable in today’s world when most of us (who work in remote work compatible jobs) are working from home. I hope after reading this article you feel motivated to try using this remote development approach in your workflow to…
