Deep Learning in Computer Vision

Deep learning added a huge boost to the already rapidly developing field of computer vision. The course will introduce you to these innovative technologies

  • The course is related to the online specialization ''Deep Learning"
  • Flexible Terms
  • 5 weeks (2 credits)
  • Time to completion: 13 hours
  • Certificate

About the Course

With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving cars. In the course project, students will learn how to build face recognition and manipulation system to understand the internal mechanics of this technology, probably the most renown and often demonstrated in movies and TV-shows example of computer vision and AI

Course Objectives


Introduce students to computer vision, starting from basics and then turning to more modern deep learning models


Cover both image and video recognition, including image classification and annotation, object recognition and image search, various object detection techniques, motion estimation, object tracking in video, human action recognition, and finally image stylization, editing and new image generation


Learn how to build face recognition and manipulation system to understand the internal mechanics of this technology

Learning Outcomes

1. Image and video recognition

2. Image classification and annotation

3. Object recognition and image search

4. New image generation

Course Syllabus

Week 1. Introduction to image processing and computer vision

Week 2. Convolutional features for visual recognition

Week 3. Object detection

Week 4. Object tracking and action recognition

Week 5. Image segmentation and synthesis


Anton Konushin
Senior Lecturer: HSE Faculty of Computer Science

Alexey Artemov
Senior Lecturer: HSE Faculty of Computer Science


Course requires strong background in calculus, linear algebra, probability theory and machine learning

Graduation Document

Earn a Certificate upon completion



Learning Activities



Low-Stakes Assignments


High-Stakes Assignments

Final project

Cost and Conditions

16 000 ₽

Full access to the learning materials + Graduation document

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