Deep learning course, 2026

This is the page for the Deep Learning course (2026, תשפ”ו) at the SCE - Shamoon College of Engineering.

DRAFT - subject to changes.

Weekly schedule

Week Date Mode Topic
1 30/10 Frontal meeting (lecture)  
2 06/11 Self-study (declaration) Coursera: C1W1,C1W2
3 13/11 Self-study (declaration) Coursera: C1W3,C1W4
4 20/11 Self-study (declaration) Coursera: C2W1,C1W2
5 27/11 Self-study (declaration) Coursera: C2W3
6 04/12 Self-study (declaration) Coursera: C4W1,C4W2
7 11/12 Self-study (declaration) Coursera: C4W3, C4W4
8 18/12 Frontal (computer) Learning PyTorch with Examples
9 25/12 Frontal (computer) - double meeting Fundamentals of Deep Learning
10 01/01 No meeting  
11 08/01 Self-study (declaration) Open Source Models with Hugging Face
12 15/01 Hackathon competition  
13 22/01 Midterm  

Learning material

This course is “digital learning” based, meaning that the part of the learning material is based on online courses. The following online resources are required. Additional material will be provided during the course.

  • Coursera - Deep learning specialization: Use free videos or free “audit” registration per course (certification is voluntary and does not influence the grade). The following links are for the corresponding YouTube playlists:
    • Neural Networks and Deep Learning (C1) YouTube
    • Improving Deep Neural Networks (C2) (YouTube)
    • Convolutional Neural Networks (C4) (YouTube)
    • Example of all the exercise solutions (link)
  • PyTorch official tutorial: Learning PyTorch with Examples
  • Deep Learning Institute (Nvidia): Fundamentals of Deep Learning

Previous exams/midterms