As usual* the result sounds awfully unstructured and unenjoyable and could be aswell be achieved by some random walk through a musical scale, since if you put some basic music theory in program form, you can get these small harmonic structures pretty easily. (*since projects like this seem to pop up every couple of months)

Like other people already mentioned, the part that usually gets neglected is the overarching dramatic structure of a musical piece. Compare a complete shakespeare piece to a pile of randomly thrown together half-sentences.

I don't fully understand the fascination of music generation with some ai-neural-learning buzzword bingo technique that always gets kickstarted by dumb-force-analysing a human made music corpus to achieve it.

What in a musical sense is much more interesting is to generate _new_ music that cannot be composed by a human, and cannot be played by a human. That's playing to the strength of the machines. Sonification of large datasets, sonification of function behaviour. Sonification of the binary world, that's so different to ours. This is much more interesting than the 10th failed emulation of a simple folk song.

Nevertheless, as a students piece about programming neural networks, it's certainly ok, the presentation is nice, but the result is uninspiring, like building a car tire out of bananas, just because it's possible. Just let the folk songs belong to the actual folk.

As a side note: what would happen if the result were millions of super nice catchy folk tunes on a button press? Would it be the end of pop music as we know it? Maybe i redact my opinion.