Course curriculum

  • 1

    Course Overview

  • 2

    Getting started with Interactive Machine Learning for openFrameworks - On-demand / Session 1

    • Code for Week 1

    • Part 1 - IML Terminology

    • Part 2 - Collect and Label Data

    • Part 3 - KNN Classification

  • 3

    Getting started with Interactive Machine Learning for openFrameworks - Session 2 / On-demand

    • Code Templates for Week 2

    • Part 1 - Static Regression

    • Part 2 - Project Setup

    • Part 3 - Training The Network

    • Part 4 - Controlling Audio

  • 4

    Getting started with Interactive Machine Learning for openFrameworks - Session 3 / On-demand

    • Code for Week 3

    • Part 1 - Dynamic Time Warping

    • Part 2 - Project Setup

    • Part 3 - Collect Data

    • Part 4 - Train and Run Model

    • Part 5 - FM Synth Control

    • Part 6 - Triggering Processes

  • 5

    Getting started with Interactive Machine Learning for openFrameworks - Session 4 / On-demand

    • Week 4 Code

    • Part 1 - Parallel Models Setup

    • Part 2 - Controlling Parallel Models

    • Part 3 - Gestural Selector

    • Part 4 - Multi-modal Output

    • Part 5 - Models in Series