Deep Learning for Composers and Artists [english]

The workshop given by Robert B. Lisek uses deep learning methods for creation of music, performances, immersive installation and interactive media. The event introduces fundamentals of AI and its applications for artists, composers and musicians with practical examples in Python, Supercollider, Pure data/Max Msp.

The workshop aims to teach participants the use of the machine learning methods in composing and artistic practice. The author developed machine learning methods for extension of video-sound synthesis (pulsar, granular, concatenative). In this approach composing and formations of complex sonic or visual structures is based on transformation hyperparameters of neural networks. More info here.

Take your laptop with installed Pure Data (0.52+), Supercollider (3.11+) or Max (7+). Application via spolek@svitava.org.

49.223147990914015, 16.649218702747817