i have read a lot about NAS but I still do not understand one concept: When setting up a neural network, hyperparameters need to set up, like for example the learning rate, dropout rate, batch size, filter size... etc.
In NAS only the best architecture is decided, e.g. how many layers and neurons.. . But what about the hyperparameters? Are they randomly decided?
Thank you for your help