IAC 11 Practical Introduction to Machine Learning

IAC 11 Practical Introduction to Machine Learning

Training objectives:

  • Application and optimisation of self-learning algorithms (artificial neuronal networks) up to and including creating your own algorithms
  • Complete implementation of machine-learning applications based on visually descriptive projects
  • Playful introduction to the subject using "scissors-rock-paper" game played against AI
  • Visual quality assessment
  • Recognition of traffic signs
  • Generation/creation of data sets
  • Model selection and configuration
  • Teach-in/training
  • Application/real-time inference