Machine Learning
All our machine learning courses for music and creative arts
Showing all 5 results
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TouchDesigner meetup - AI & Machine Learn...
TouchDesigner meetup - AI & Machine Learning
Meetup
Hosted by: Bileam Tschepe
FREE
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Max and Machine Learning with RunwayML - On-d...
Max and Machine Learning with RunwayML - On-demand
On-demand workshop
Taught by: Marco Accardi
- Understand the RunwayML workflow
- Use Node4Max to control RunwayML and generate a video
- Explore ML trendy models
- Create a Dataset
- Train a ML model
- Process videos with the VIZZIE library
£ 49
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An Introduction to Markov Chains: Machine Lea...
An Introduction to Markov Chains: Machine Learning in Max
On-demand workshop
Taught by: Samuel Pearce Davies
- In this workshop we will demystify the Markov Chain and make use of the popular ml.star library in Max/MSP to implement Markov Chains for musical composition. This will involve preparing and playing MIDI files into the system (as a form of Machine Learning) and capturing the subsequent output as new MIDI files. By the end of the session you will have the knowledge of how to incorporate Markov Chains into your future compositions at various levels.
£ 9.9
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Visual Music Performance with Machine Learnin...
Visual Music Performance with Machine Learning - On demand
On-demand workshop
Taught by: Bryan Dunphy
- Create generative visual art in openFrameworks
- Create procedural audio in openFrameworks using ofxMaxim
- Discuss interactive machine learning techniques
- Use a neural network to control audiovisual parameters simultaneously in real-time
£ 9.9
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Getting started with Interactive Machine Lear...
Getting started with Interactive Machine Learning for openFrameworks / Workshop series - On-demand
Live workshop series
Taught by: Bryan Dunphy
- Session 1: Set up an openFrameworks project for classification, Collect and label data, Use the data to control audio output and Observe output and evaluate model
- Session 2: Set up an openFrameworks project for regression, Collect data and train a neural network, Use the neural network output to control audio parameters and Adjust inputs to refine the output behaviour
- Session 3: Set up an openFrameworks project for series classification, Design gestures as control data, Use classification of gestures to control audio output and Refine gestural input to attain desired output
- Session 4: Explore methods for increasing complexity, Integrate visuals for multimodal output, Build mapping layers and Use models in parallel and series
£ 49.9
