About this Course

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Advanced Level
Approx. 13 hours to complete
Subtitles: English, Korean
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Advanced Level
Approx. 13 hours to complete
Subtitles: English, Korean

Offered by

National Research University Higher School of Economics logo

National Research University Higher School of Economics

Syllabus - What you will learn from this course

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Week 1

3 hours to complete

Introduction to image processing and computer vision

3 hours to complete
9 videos (Total 56 min), 1 reading, 2 quizzes
9 videos
Short introduction to computer vision4m
Digital images3m
Structure of human eye and vision6m
Color models15m
Image processing goals and tasks2m
Contrast and brightness correction5m
Image convolution7m
Edge detection8m
1 reading
About the University10m
1 practice exercise
Basic image processing30m

Week 2

3 hours to complete

Convolutional features for visual recognition

3 hours to complete
12 videos (Total 91 min)
12 videos
AlexNet, VGG and Inception architectures11m
ResNet and beyond10m
Fine-grained image recognition5m
Detection and classification of facial attributes6m
Content-based image retrieval7m
Computing semantic image embeddings using convolutional neural networks8m
Employing indexing structures for efficient retrieval of semantic neighbors9m
Face verification6m
The re-identification problem in computer vision5m
Facial keypoints regression6m
CNN for keypoints regression5m
1 practice exercise
Convolutional features for visual recognition30m

Week 3

2 hours to complete

Object detection

2 hours to complete
13 videos (Total 46 min)
13 videos
Sliding windows3m
HOG-based detector2m
Detector training3m
Viola-Jones face detector5m
Attentional cascades and neural networks3m
Region-based convolutional neural network3m
From R-CNN to Fast R-CNN5m
Faster R-CNN4m
Region-based fully-convolutional network2m
Single shot detectors3m
Speed vs. accuracy tradeoff1m
Fun with pedestrian detectors1m
1 practice exercise
Object Detection30m

Week 4

3 hours to complete

Object tracking and action recognition

3 hours to complete
11 videos (Total 74 min)
11 videos
Optical flow5m
Deep learning in optical flow estimation5m
Visual object tracking5m
Examples of visual object tracking methods13m
Multiple object tracking5m
Examples of multiple object tracking methods8m
Introduction to action recognition6m
Action classification7m
Action classification with convolutional neural networks5m
Action localization6m
1 practice exercise
Video Analysis30m



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About the Advanced Machine Learning Specialization

This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings....
Advanced Machine Learning

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