Schița de curs
- Backprop, modele modulare
- Modul Logsum
- RBF Net
- Pierdere MAP/MLE
- Transformări ale spațiului de parametri
- Modul convoluțional
- Învățare bazată pe gradient
- Energie pentru inferență
- Obiectiv pentru învățare
- PCA, NLL
- Modele cu variabile latente
- LVM probabilistic
- Funcție de pierdere
- Recunoașterea scrisului de mână
Cerințe
Cunoștințe solide în domeniul învățării automate de bază. Abilități de programare în orice limbaj (ideal Python/R).
Mărturii (7)
Structura de la principii fundamentale, până la studii de caz și aplicații.
Margaret Webb - Department of Jobs, Regions, and Precincts
Curs - Introduction to Deep Learning
Tradus de catre o masina
The deep knowledge of the trainer about the topic.
Sebastian Gorg
Curs - Introduction to Deep Learning
Tradus de catre o masina
I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient.
Radek
Curs - Introduction to Deep Learning
Tradus de catre o masina
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.
Dolby Poland Sp. z o.o.
Curs - Introduction to Deep Learning
Tradus de catre o masina
Topic. Very interesting!.
Piotr
Curs - Introduction to Deep Learning
Tradus de catre o masina
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Grzegorz Mianowski
Curs - Introduction to Deep Learning
Tradus de catre o masina
The topic is very interesting.
Wojciech Baranowski
Curs - Introduction to Deep Learning
Tradus de catre o masina
