Algorithmic Music Generation with Recurrent Neural Networks




Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Jun 9, 2015

This is the result of a project I worked on for CS224D with Aran Nayebi. The idea is to design a neural network that can generate music using your music library as training data. While I believe we could probably improve upon this model significantly, it serves as a good proof of concept for showing that it is indeed possible. We use Long Short-Term Memory (LSTM) networks to model hidden recurrences over time. For this demo, we used a network that was trained on a variety of Madeon songs.

Due to popular demand, we've released the source code on GitHub. Check it out here: https://github.com/MattVitelli/GRUV

Happy training! :D


When autoplay is enabled, a suggested video will automatically play next.

Up next

to add this to Watch Later

Add to

Loading playlists...