I am doing custom object detection training using darkflow on Google Cloud Platform Compute Engine VM with GPU but the long-running process dies whenever I lose connectivity or my laptop goes to sleep. I have tried running it via SSH from my Windows machine, using Google Cloud Shell, via a terminal on Jupyter Notebook on the Cloud platform and via a Jupyter Notebook on the Cloud platform directly but the process fails in all these scenarios due to a connectivity loss even though the VM is running. What is the best way to keep this long-running process going? P.S. I did realize later that Google Cloud Shell is not suitable for this purpose.
Nevermind, I found the solution here: https://askubuntu.com/questions/8653/how-to-keep-processes-running-after-ending-ssh-session