[Discussion] Ideas to improve deep learning on a particular music style

Newbie here. First approach to Git, Python/PiP and commands.

I'm really interested in the development of this tool and the use of it. My main focus is to separate stems in a particular field of music: jazzfunk. I'm not fully aware of how neural networks learn themselves and evolve. So, I need basic info to clarify how to improve Spleeter performance.

Does every song we input to Spleeter makes it gets better results therefore?

Does remaining in a particular style of songs makes it even better with the output results?

Has it progressive learning steps? This meaning if I input "easier" songs, then other a little bit more complicated and then songs more chaotic or freeform, it will learn better than if the first input are complex.

Thanks in advance

(please if anyone can label this into "training", it would be appreciated)