Deep Learning for Computer Vision course
- masha675
- Sep 25
- 1 min read
Updated: 14 minutes ago
SagivTech is proud to present a Deep Learning for Computer Vision course, in Hebrew and free of charge, following most of the content of the legendary course taught at Stanford by Prof. Fei-Fei Li.
The final lecture of the course will review current work in the field of medical image processing.
The course consists of 14 weekly sessions, each one hour long, delivered by Dr. Chen Sagiv, who has been teaching computer vision courses for more than 15 years.
The course will take place on Tuesdays from 17:00 to 18:00, starting November 4. All lectures will be recorded. To register, click here
Syllabus:
Session 1: Image Classification with Classical Methods
Session 2: Methods for Solving Optimization Problems
Session 3: Neural Networks – Backpropagation
Session 4: Deep Learning 101 – Image Classification with Neural Networks
Session 5: Overview of Architectures
Session 6: RNN
Session 7: Transformers
Session 8: Transformers
Session 9: Networks for Image Processing Tasks
Session 10: Foundation Models
Session 11: Foundation Models
Session 12: Generative Models
Session 13: Generative Models
Session 14: Contemporary Medical Image Processing
