課程信息
4.0
68 個評分
12 個審閱
專項課程

第 5 門課程(共 7 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
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可靈活調整截止日期

根據您的日程表重置截止日期。
高級

高級

完成時間(小時)

完成時間大約為27 小時

建議:5 weeks of study...
可選語言

英語(English)

字幕:英語(English)...
專項課程

第 5 門課程(共 7 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
高級

高級

完成時間(小時)

完成時間大約為27 小時

建議:5 weeks of study...
可選語言

英語(English)

字幕:英語(English)...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 3 小時

Introduction to image processing and computer vision

Welcome to the "Deep Learning for Computer Vision“ course! In the first introductory week, you'll learn about the purpose of computer vision, digital images, and operations that can be applied to them, like brightness and contrast correction, convolution and linear filtering. These simple image processing methods solve as building blocks for all the deep learning employed in the field of computer vision. Let’s get started!...
Reading
8 個視頻(共 54 分鐘), 2 個測驗
Video8 個視頻
Digital images3分鐘
Structure of human eye and vision6分鐘
Color models15分鐘
Image processing goals and tasks2分鐘
Contrast and brightness correction5分鐘
Image convolution7分鐘
Edge detection8分鐘
Quiz1 個練習
Basic image processing10分鐘
2
完成時間(小時)
完成時間為 4 小時

Convolutional features for visual recognition

Module two revolves around general principles underlying modern computer vision architectures based on deep convolutional neural networks. We’ll build and analyse convolutional architectures tailored for a number of conventional problems in vision: image categorisation, fine-grained recognition, content-based retrieval, and various aspect of face recognition. On the practical side, you’ll learn how to build your own key-points detector using a deep regression CNN. ...
Reading
12 個視頻(共 91 分鐘), 2 個測驗
Video12 個視頻
AlexNet, VGG and Inception architectures11分鐘
ResNet and beyond10分鐘
Fine-grained image recognition5分鐘
Detection and classification of facial attributes6分鐘
Content-based image retrieval7分鐘
Computing semantic image embeddings using convolutional neural networks8分鐘
Employing indexing structures for efficient retrieval of semantic neighbors9分鐘
Face verification6分鐘
The re-identification problem in computer vision5分鐘
Facial keypoints regression6分鐘
CNN for keypoints regression5分鐘
Quiz1 個練習
Convolutional features for visual recognition24分鐘
3
完成時間(小時)
完成時間為 3 小時

Object detection

In this week, we focus on the object detection task — one of the central problems in vision. We start with recalling the conventional sliding window + classifier approach culminating in Viola-Jones detector. Tracing the development of deep convolutional detectors up until recent days, we consider R-CNN and single shot detector models. Practice includes training a face detection model using a deep convolutional neural network....
Reading
13 個視頻(共 46 分鐘), 2 個測驗
Video13 個視頻
Sliding windows3分鐘
HOG-based detector2分鐘
Detector training3分鐘
Viola-Jones face detector5分鐘
Attentional cascades and neural networks3分鐘
Region-based convolutional neural network3分鐘
From R-CNN to Fast R-CNN5分鐘
Faster R-CNN4分鐘
Region-based fully-convolutional network2分鐘
Single shot detectors3分鐘
Speed vs. accuracy tradeoff1分鐘
Fun with pedestrian detectors1分鐘
Quiz1 個練習
Object Detection16分鐘
4
完成時間(小時)
完成時間為 4 小時

Object tracking and action recognition

The fourth module of our course focuses on video analysis and includes material on optical flow estimation, visual object tracking, and action recognition. Motion is a central topic in video analysis, opening many possibilities for end-to-end learning of action patterns and object signatures. You will learn to design computer vision architectures for video analysis including visual trackers and action recognition models....
Reading
11 個視頻(共 74 分鐘), 2 個測驗
Video11 個視頻
Optical flow5分鐘
Deep learning in optical flow estimation5分鐘
Visual object tracking5分鐘
Examples of visual object tracking methods13分鐘
Multiple object tracking5分鐘
Examples of multiple object tracking methods8分鐘
Introduction to action recognition6分鐘
Action classification7分鐘
Action classification with convolutional neural networks5分鐘
Action localization6分鐘
Quiz1 個練習
Video Analysis16分鐘
4.0
12 個審閱Chevron Right

熱門審閱

創建者 SJJun 12th 2018

Excellent course! Quiz questions are conceptual and challenging and assignments are pretty rigorous and 100% practical application oriented.

講師

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Anton Konushin

Senior Lecturer
HSE Faculty of Computer Science
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Alexey Artemov

Senior Lecturer
HSE Faculty of Computer Science

關於 National Research University Higher School of Economics

National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communications, IT, mathematics, engineering, and more. Learn more on www.hse.ru...

關於 Advanced Machine Learning 專項課程

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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