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Hands-On Music Generation with Magenta

You're reading from  Hands-On Music Generation with Magenta

Product type Book
Published in Jan 2020
Publisher
ISBN-13 9781838824419
Pages 360 pages
Edition 1st Edition
Languages
Author (1):
Alexandre DuBreuil Alexandre DuBreuil
Profile icon Alexandre DuBreuil

Table of Contents (16) Chapters

Preface 1. Section 1: Introduction to Artwork Generation
2. Introduction to Magenta and Generative Art 3. Section 2: Music Generation with Machine Learning
4. Generating Drum Sequences with the Drums RNN 5. Generating Polyphonic Melodies 6. Latent Space Interpolation with MusicVAE 7. Audio Generation with NSynth and GANSynth 8. Section 3: Training, Learning, and Generating a Specific Style
9. Data Preparation for Training 10. Training Magenta Models 11. Section 4: Making Your Models Interact with Other Applications
12. Magenta in the Browser with Magenta.js 13. Making Magenta Interact with Music Applications 14. Assessments 15. Other Books You May Enjoy

Google's Magenta and TensorFlow in music generation

Since its launch, TensorFlow has been important for the data scientist community for being An Open Source Machine Learning Framework for Everyone. Magenta, which is based on TensorFlow, can be seen the same way: even if it's using state of the art machine learning techniques, it can still be used by anyone. Musicians and computer scientists alike can install it and generate new music in no time.

In this section, we'll look at the content of Magenta by introducing what it can and cannot do and refer to the chapters that explain the content in more depth.

Creating a music generation system

Magenta is a framework for art generation, but also for attention, storytelling...

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Hands-On Music Generation with Magenta
Published in: Jan 2020 Publisher: ISBN-13: 9781838824419
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