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Machine and Deep Learning
92819

Description
Course Program

  • Bayesian Theory of Decision. 
  • Parametric and non-parametric Classification Techniques. 
  • Classifiers based on Learning: Support Vector, Neural Networks, Multiclassifier Systems. 
  • Techniques to Evaluate and Improve the Performance of Classifiers. 
  • Introduction to Deep Learning: Convolutional Networks (CNN), Recurrent Networks (RNN), Generative Adversarial Networks (GAN), Autoencoders.

Crédits ECTS
6

Langue d'enseignement
English

Langue d'examen
English

Langue des supports pédagogiques
English

Acquis d'apprentissage fondamentaux

Entité de gestion (faculté)
Department of Electrical and Information Engineering (UNICAS)