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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 (4)
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Cursus - Introduction to Deep Learning
The deep knowledge of the trainer about the topic.
Sebastian Görg
Cursus - Introduction to Deep Learning
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Radek
Cursus - Introduction to Deep Learning
Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.