IAC 11 Practical Introduction to Machine Learning
IAC 11 Practical Introduction to Machine Learning
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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