Kurskode
aiauto
Varighet
14 timer (vanligvis 2 dag inkludert pauser)
Krav
The participants must have programming experience (any language) and engineering background, but are not required to write any code during the course.
Oversikt
Dette kurset dekker AI (med vekt på Machine Learning og Deep Learning ) i Automotive . Det hjelper til med å bestemme hvilken teknologi som (potensielt) kan brukes i flere situasjoner i en bil: fra enkel automatisering, bildegjenkjenning til autonome beslutninger.
Machine Translated
Kursplan
Current state of the technology
- What is used
- What may be potentially used
Rules based AI
- Simplifying decision
Machine Learning
- Classification
- Clustering
- Neural Networks
- Types of Neural Networks
- Presentation of working examples and discussion
Deep Learning
- Basic vocabulary
- When to use Deep Learning, when not to
- Estimating computational resources and cost
- Very short theoretical background to Deep Neural Networks
Deep Learning in practice (mainly using TensorFlow)
- Preparing Data
- Choosing loss function
- Choosing appropriate type on neural network
- Accuracy vs speed and resources
- Training neural network
- Measuring efficiency and error
Sample usage
- Anomaly detection
- Image recognition
- ADAS