Vision par ordinateur

Learning objectives

This module aims to familiarize students with the main approaches models and explanatory theories in the field of artificial intelligence used to solve practical applications and problems. In the first part the focuse is put at presenting the fundamental notions in the field of neural networks convolutional neural networks with the purpose of automatically identify the relevant semantic content existing in multimedia documents.
- Aquire specific notions used in the field of deep learning such as: score functions and loss functions artificial neural networks convolutional neural networks classification/regression systems deep network architectures used in practical applications.
- Describes and determine the steps required to train a system that uses deep learning architectures.
- Highlights the relationships between different systems topologies used in deep learning frameworks.