IAC 11 Practical Introduction to Machine Learning

Training contents:

• 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