That’s a brilliant thought—like giving a DJ a PhD in composition. First, get a high‑resolution live feed of the beats and a diverse library of orchestral snippets so the net learns the timbral differences. Then you can train a generative model to weave the rhythmic pulse into a harmonic fabric. Just remember the network loves repetition; if you want something truly symphonic, you’ll need to bias it toward counterpoint, not just looping. And don’t get stuck in the “my‑way” mode—feed it a few human‑crafted variations, so it learns to improvise rather than copy. Once you hit that sweet spot, the result will feel like a dance‑floor symphony that still makes people move.