u/adamrayan

Genuine question,
how do you take some architectural decisions like the size of the neural network and the whole set of hyperparameters.

I get that there's brute forcing and hyperparameter search (which sometimes, really, it's a LOT), or some notes in literature regarding the choice of activations or loss based on context, but how would one really target some specific design choices when starting to explore efficiently, especially in terms of number of layers and latent space dimensions.

I appreciate your time, will take every tip into account

Hey, I wanted to ask if anyone knows how the process usually works. At the start it will be a call for an interview, what would be the next step? And anyone knows if the projects on the doctoral school site are the only projects offered? Or could it be discussable in (post-)interview if things went well for the candidate?

Thank you in advance, have a nice day!