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Παρουσίαση/Προβολή

Εικόνα επιλογής

Deep Learning

(1805) -  Theodoros Giannakopoulos

Περιγραφή Μαθήματος

General Information

  • When: Every Thursday 6 - 9pm
  • Slides to be uploaded on e-class

Instructor: Theodoros Giannakopoulos

Books: 

  • deep learning (MIT, Goodfellow) https://www.deeplearningbook.org

Marking Scheme:

  • 50% project
  • 50% exams

Lectures:

  • 01 - Intro, 23/2/2023
  • 02 - A recap on ML 2/3/2023
  • 03 - Multimodal ML 9/3/2023
  • 04 - Neural Networks (Part A) 16/3/2023
  • 05 - Neural Networks (Part B) 23/3/2023
  • 06 - CNNs (Part A) 30/3/2023
  • 07 - CNNs (Part B) 6/4/2023
  • 08 - Sequential Modelling 27/4/2023
  • 09 - Transfer learning, Autoencoders 4/5/2023
  • 10 - GANs - 11/5/2023
  • 11 - Self-supervised Learning 18/5/2023
  • 12 - Projects Discussion - 25/5/2023
  • 13 - Projects Oral Presentation 1/6/2023

Exams: [TBA]

Ημερομηνία δημιουργίας

Τρίτη 23 Φεβρουαρίου 2021