Learning how to deal with complex data sets and build predictors and classifiers, know and being able to use state of the art deep learning approaches for supervised, unsupervised and self-supervised learning, combine different methods to improve results.
Deep Learning
Learning Goals
Program in pills
Deep learning architectures: fully connected, convolutional, attention mechanisms and memory, autoregressive models, generative models, self-supervised learning.
Area
Machine Learning and Artificial Intelligence
Curriculum Foundations
TAF Type
Curriculum Industry
TAF Type
Curriculum Health
TAF Type
Curriculum Economy
TAF Type
SSD
ECTS
Semester
Lecturers
Alessio Ansuini