Master Thesis / Mg.
Responsibility: Ing. Karel Horák, Ph.D.
Category: mandatory, 2nd year master, summer
Credits: 20
Units: –
Documents: –
Lectures
Machine Vision:
- –
AI – Machine Learning:
Artificial Neural Networks – introduction for beginners:
- Intuitive view on Artificial Neural Networks (ANN)
- Gradient descent, how neural networks learn
- What is backpropagation really doing?
- Backpropagation calculus
Machine Learning – basic notes:
- Introduction to Machine Learning (D. Arnaud, Uni. Oxford)
- ROC Curves (D. Arnaud, Uni. Oxford)
- (only in Czech)Analýza a hodnocení biologických dat
Exercises
NA
Exam
NA