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Making music using code isn’t a new thing but machine learning gives us a whole new way to go about it. We played the computer tons of examples of melodies and over time it starts to learn relationships between notes and timings. So when you play a few notes the neural network will respond with a short melody, interpreting whatever you give it. It’s like a musical game of call and response.
## A.I. Duet
Trade melodies with a neural network.
## About
This experiment lets you make music through machine learning. A neural network was trained on many examples and it learns about musical concepts, building a map of notes and timings. You just play a few notes, and see how the neural net responds. We’re working on putting the experiment on the web so that anyone can play with it. In the meantime, learn about it by watching the video above.
[https://aiexperiments.withgoogle.com/ai-duet](https://aiexperiments.withgoogle.com/ai-duet)
This is not an official Google product.
## CREDITS
Built by Yotam Mann and folks on the Magenta and Creative Lab teams at Google.
Built by Yotam Mann with friends on the Magenta and Creative Lab teams at Google. It uses [Tone.js (https://github.com/Tonejs/Tone.js) and open-source tools from the [Magenta](https://github.com/tensorflow/magenta) project.
## OVERVIEW