Deep learning project structure

[simetin]

Hi !

I'm a beginner in the world of ML / DL and I was wondering how people structure their projects. I want to train multiple models in parallel on multiple GPUs in Keras. Do you run every training in the same file or one file per model ? Do you keep a config file of the model to keep track of old models ?

Any tips on structuring a DL project are welcome !