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Course Outline
- Backprop, modulaire modellen
- Logsum-module
- RBF Net
- MAP/MLE-verlies
- Parameterruimtetransformaties
- Convolutionele module
- Op gradiënt gebaseerd leren
- Energie voor gevolgtrekking
- Doel om te leren
- PCA, NLL
- Latente Variabele Modellen
- Probabilistische LVM
- Verlies Functie
- Handschrift herkenning
Requirements
Goede basis in basismachine learning. Programmeervaardigheden in elke taal (idealiter Python/R).
21 Hours
Getuigenissen (1)
The structure from first principles, to case studies, to application.