Machine Learning is a branch of Artificial Intelligence that allows humans to teach computers to classify
specific sets of patterns within a large amount of data, as well as to generate novel outputs based on what an AI has "learned" from a corpus of data. Everyday examples of AI include computers being able to perform object detection in pictures, speech and facial recognition as well as generate new music in the style of a particular artist, to name a few.
In this introductory hands-on workshop we will learn about general concepts of AI, ML and Deep Learning and
work with two generative AI models for sound: SampleRNN and WaveGAN.
We will use them to create our own AI synthesized soundtracks and sound effects to be used as assets in a
video game.
AudienceArtists, Video Game developers and general interested audience in computer creativity.
People from underrepresented backgrounds and communities in art+tech and video
games are highly encouraged to apply.
Recommended for beginner to professional artists and musicians working with game-engines
and creative coding. No coding experience is necessary but is highly encouraged
Requirements- Laptop
- Stable internet connection
- Unity 3D installed
- Google Mail & Drive account
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