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

Product typeBook
Published inJan 2020
Reading LevelExpert
Publisher
ISBN-139781838824419
Edition1st Edition
Languages
Python
Tools
Magenta
Concepts
Machine Learning
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Author (1)
Alexandre DuBreuil
Alexandre DuBreuil
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Alexandre DuBreuil

Alexandre DuBreuil is a software engineer and generative music artist. Through collaborations with bands and artists, he has worked on many generative art projects, such as generative video systems for music bands in concerts that create visuals based on the underlying musical structure, a generative drawing software that creates new content based on a previous artist's work, and generative music exhibits in which the generation is based on real-time events and data. Machine learning has a central role in his music generation projects, and Alexandre has been using Magenta since its release for inspiration, music production, and as the cornerstone for making autonomous music generation systems that create endless soundscapes.
Read more about Alexandre DuBreuil

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Questions

  1. What is the main use of the encoder and decoder pair in AE and what is a major shortcoming of such design?
  2. How is the loss function defined in AE?
  3. What is the main improvement in VAE on AE, and how is that achieved?
  4. What is KL divergence and what is its impact on the loss function?
  5. What is the code to sample z with a batch size of 4 and z size of 512?
  6. What is the usage of the slerp method during interpolation?
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Hands-On Music Generation with Magenta
Published in: Jan 2020Publisher: ISBN-13: 9781838824419
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alexandre DuBreuil

Alexandre DuBreuil is a software engineer and generative music artist. Through collaborations with bands and artists, he has worked on many generative art projects, such as generative video systems for music bands in concerts that create visuals based on the underlying musical structure, a generative drawing software that creates new content based on a previous artist's work, and generative music exhibits in which the generation is based on real-time events and data. Machine learning has a central role in his music generation projects, and Alexandre has been using Magenta since its release for inspiration, music production, and as the cornerstone for making autonomous music generation systems that create endless soundscapes.
Read more about Alexandre DuBreuil

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