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Magenta

Magenta

Magenta is a research project devoted to develop deep learning and reinforcement learning algorithms for creating art and music.

OverviewStructured DataIssuesContributors

Contents

magenta.tensorflow.org
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Software development
Software development
0
Generative AI
Generative AI
‌
AI music generation
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Technology
Technology
Music
Music
Art
Art
0
Machine learning
Machine learning
B2X
B2B
B2B
Parent Organization
Google
Google
Number of Employees (Ranges)
51 – 2000
Founded Date
2017
0
Competitors
Stable Audio
Stable Audio
0

Magenta is a research project analyzing the function of machine learning in creating art and music.

Magenta focuses on developing new deep learning and reinforcement learning algorithms for generating songs, images, drawings and other materials. It also constructs smart tools and interfaces allowing artists and musicians to extend their processes using these models.

The started in 2016 by researchers and engineers from the Google Brain team. It is led by Doug Eck, a research scientist. They use TensorFlow and release their models and tools in open source on GitHub.

Timeline

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Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

A Neural Algorithm of Artistic Style

Leon A. Gatys, Alexander S. Ecker and Matthias Bethge

https://arxiv.org/pdf/1508.06576v2.pdf

Academic paper

DRAW: A Recurrent Neural Network For Image Generation

Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende and Daan Wierstra

https://arxiv.org/pdf/1502.04623.pdf

Academic paper

Generating Sequences With Recurrent Neural Networks

Alex Graves

https://arxiv.org/pdf/1308.0850.pdf

Academic paper

Magenta: Music and Art Generation (TensorFlow Dev Summit 2017)

https://www.youtube.com/watch?v=vM5NaGoynjE

15 February 2017

Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription

Nicolas Boulange, Yoshua Bengio and Pascal Vincent

http://www-etud.iro.umontreal.ca/~boulanni/ICML2012.pdf

Academic paper

References

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