Programa del Curso
- Contrapunte, modelos modulares
- Módulo de suma de registros
- RBF Neto
- Pérdida de MAP/MLE
- Transformaciones de espacio de parámetros
- Módulo convolucional
- Aprendizaje basado en gradientes
- Energía para la inferencia
- Objetivo de aprendizaje
- PCA, NLL
- Modelos de Variables Latentes
- LVM probabilístico
- Función de pérdida
- Reconocimiento de escritura a mano
Requerimientos
Good Fundamentación en el aprendizaje automático básico. Programming habilidades en cualquier idioma (idealmente Python/R).
Testimonios (7)
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Curso - Introduction to Deep Learning
The deep knowledge of the trainer about the topic.
Sebastian Görg
Curso - 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
Curso - 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.
Dolby Poland Sp. z o.o.
Curso - Introduction to Deep Learning
Topic. Very interesting!.
Piotr
Curso - Introduction to Deep Learning
Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Grzegorz Mianowski
Curso - Introduction to Deep Learning
The topic is very interesting.