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Course Outline
- Machine Learning Beperkingen
- Machine Learning, Niet-lineaire toewijzingen
- Neural Networks
- Niet-lineaire optimalisatie, stochastisch/MiniBatch-gradiënt fatsoenlijk
- Terug Propagatie
- Diepe, schaarse codering
- Schaarse auto-encoders (SAE)
- Convolutioneel Neural Networks (CNN's)
- Successen: Descriptor Matching
- Stereo-gebaseerd obstakel
- Vermijden voor Robotics
- Pooling en invariantie
- Visualisatie/deconvolutionele netwerken
- Terugkerend Neural Networks (RNN's) en hun optimalisatie
- Toepassingen bij NLP
- RNN's vervolgden,
- Optimalisatie zonder jute
- Taalanalyse: woord-/zinsvectoren, ontleden, sentimentanalyse, enz.
- Probabilistische grafische modellen
- Hopfield Netten, Boltzmann machines
- Diepe geloofsnetten, gestapelde RBM's
- Toepassingen voor NLP, pose en activiteitsherkenning in video's
- Recente ontwikkelingen
- Grootschalig leren
- Neurale Turing-machines
Requirements
Goed begrip van Machine Learning. Minimaal theoretische kennis van Deep Learning.
28 Hours
Getuigenissen (4)
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Cursus - Advanced Deep Learning
Doing exercises on real examples using Keras. Mihaly totally understood our expectations about this training.
Paul Kassis
Cursus - Advanced Deep Learning
The exercises are sufficiently practical and do not need a high knowledge in Python to be done.
Alexandre GIRARD
Cursus - Advanced Deep Learning
The global overview of deep learning