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Hands-On Music Generation with Magenta

You're reading from   Hands-On Music Generation with Magenta Explore the role of deep learning in music generation and assisted music composition

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Product type Paperback
Published in Jan 2020
Publisher
ISBN-13 9781838824419
Length 360 pages
Edition 1st Edition
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Author (1):
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Alexandre DuBreuil Alexandre DuBreuil
Author Profile Icon Alexandre DuBreuil
Alexandre DuBreuil
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction to Artwork Generation
2. Introduction to Magenta and Generative Art FREE CHAPTER 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

Installing Magenta and Magenta for GPU

Installing a machine learning framework is not an easy task and often a pretty big entry barrier, mainly because Python is an infamous language concerning dependency management. We'll try to make this easy by providing clear instructions and versions. We'll be covering installation instructions for Linux, Windows, and macOS since the commands and versions are mostly the same.

In this section, we'll be installing Magenta and Magenta for GPU, if you have the proper hardware. Installing Magenta for a GPU takes a bit more work but is necessary if you want to train a model, which we will do in Chapter 7, Training Magenta Models. If you are unsure about doing this, you can skip this section and come back to it later. We'll also provide a solution if you don't have a GPU but still want to do the chapter by using cloud-based...

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