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Kursplan
- Machine Learning Begrensninger
- Machine Learning, Ikke-lineære kartlegginger
- Neural Networks
- Ikke-lineær optimalisering, Stokastisk/MiniBatch Gradient Anstendig
- Ryggformering
- Dyp sparsom koding
- Sparse autoencodere (SAE)
- Konvolusjonell Neural Networks (CNN)
- Suksesser: Descriptor Matching
- Stereobasert hindring
- Unngåelse for Robotics
- Sammenslåing og invarians
- Visualisering/dekonvolusjonelle nettverk
- Tilbakevendende Neural Networks (RNN) og deres optimering
- Søknader til NLP
- RNN fortsatte,
- Hessian-fri optimalisering
- Språkanalyse: ord/setningsvektorer, parsing, sentimentanalyse, etc.
- Probabilistiske grafiske modeller
- Hopfield Nets, Boltzmann-maskiner
- Deep Belief Nets, stablede RBM-er
- Applikasjoner til NLP, positur og aktivitetsgjenkjenning i videoer
- Nylige fremskritt
- Storskala læring
- Nevrale Turing-maskiner
Krav
Good forståelse av Machine Learning. I det minste teoretisk kunnskap om Deep Learning.
28 timer
Testimonials (4)
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Kurs - Advanced Deep Learning
Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.
Paul Kassis
Kurs - Advanced Deep Learning
The exercises are sufficiently practical and do not need high knowledge in Python to be done.
Alexandre GIRARD
Kurs - Advanced Deep Learning
The global overview of deep learning.