I'm not sure this question is in the right Stack Exchange website, but I thought this place is a good starting point, because of the experience of users.
This question is not about artificial intelligence, but about time-management.
I am a new machine learning engineer, and I am working with Neural Networks.
However, I have difficulties to manage my time : the training time of my neurals networks are long (an hour for the simplest model, up to more than 24 hours).
I find it difficult to find good hyperparameters in these conditions. Another problem is that often, I find myself having nothing to do while training time.
I am looking for methods/advices to optimize my working time considering the training time for my network can be very long.
What I have tried :
- Organizing my work so I have to do all the little tasks (code cleaning, documentation, etc...) while training.
- Use this free-time to learn more.
- Meanwhile, implement other models, to use as a baseline.