In our final grand example of this chapter, we are going to look at generating music with GANs for games. Music generation is not especially difficult, but it does allow us to see a whole variation of a GAN that uses LSTM layers to identify sequences and patterns in music. Then it attempts to build that music back from random noise to a passable sequence of notes and melodies. This sample becomes ethereal when you listen to those generated notes and realize the tune originates from a computer brain.
The origins of this sample are pulled from GitHub, https://github.com/megis7/musegen, and developed by Michalis Megisoglou. The reason we look at these code examples is so that we can see the best of what others have produced and learn from those. In some cases, these samples are close to the original, and others not so much. We did have to tweak a few things...
