I'm a CS student, who is super interested in deep learning and ml in general. I've started playing around with pytorch a bit and got some stuff to work, but I d

I'm a CS student, who is super interested in deep learning and ml in general. I've started playing around with pytorch a bit and got some stuff to work, but I don't fully understand the code I wrote. So instead I started the fastai course and now I have the opposite problem where it feels a little too easy and I fear that that approach would fall flat the moment I want to do something outside of the things fastai can do. So now I'm thinking about scrapping that too and going to the opposite side and just building something from scratch without any ml framework at all. Would you say sticking with fastai is good idea, or is it more of way to just pique someone's interest?