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on
1
Introduction
2
Agenda
3
Definition
4
Making music without being a musician
5
Monica Dean Coolidge
6
Brian Eno
7
Machine Learning in Music Generation
8
MIDI
9
Audio
10
Network Architecture
11
LongTerm Memory
12
Variational Auto Encoder
13
Wavenet
14
Network List
15
Live Code
16
Sound Selection
17
Coding
18
Consent
19
Results
20
Sequence
21
Ableton Sound Synthesis
22
Recap
23
Magenta Jazz
24
Magenta Gain Harp
25
Using Magenta JS
26
Using Magenta Studio
27
Projects
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore machine learning for music generation in this 46-minute Devoxx conference talk. Discover how Magenta, a Tensorflow-based library, can assist in musical creation. Learn about specific neural network topologies like RNN, LSTM, and VAE and their applications in music generation. Gain insights into training models on personal styles to generate new rhythms, melodies, and audio clips. Delve into topics such as MIDI, audio processing, and network architectures. Experience live coding demonstrations, sound selection, and Ableton sound synthesis. Investigate practical applications with Magenta JS and Magenta Studio, and explore various projects showcasing the potential of AI in music composition.

Music Generation with Magenta - Using Machine Learning in the Arts

Devoxx
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