課程信息

第 4 門課程(共 4 門)

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

根據您的日程表重置截止日期。

中級

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

完成時間大約為12 小時

建議:4 weeks of study, 4-5 hours per week...

英語(English)

字幕:英語(English)

您將學到的內容有

  • Check

    Understand machine learning techniques used in computer vision

  • Check

    Classify letters, objects and scenes

  • Check

    Detect and recognize faces

  • Check

    Solve computer vision problems with deep learning

您將獲得的技能

Deep LearningMatlabMachine LearningComputer ProgrammingComputer Vision

第 4 門課程(共 4 門)

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

根據您的日程表重置截止日期。

中級

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

完成時間大約為12 小時

建議:4 weeks of study, 4-5 hours per week...

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
完成時間為 1 小時

Introduction to Visual recognition & Understanding

This module provides an introduction to visual recognition and understanding in Computer Vision....
6 個視頻 (總計 10 分鐘), 2 個閱讀材料
6 個視頻
Health Care & Visual Perception2分鐘
Detection, Localization & Classification2分鐘
Recognition1分鐘
Product Identification30
Machine Learning in Computer Vision31
2 個閱讀材料
Resources (Optional): Introduction to Visual Recognition & Understanding30分鐘
REQUIRED- MATLAB Resources10分鐘
2
完成時間為 1 小時

Early Techniques

This module discusses optical character recognition, face detection, face recognition, and other early techniques used for visual recognition....
4 個視頻 (總計 7 分鐘), 1 個閱讀材料
4 個視頻
Adaboost for Face Detection1分鐘
Eigenfaces for Face Recognition2分鐘
SVMs for Object Detection1分鐘
1 個閱讀材料
Resources (Optional): Early Techniques30分鐘
3
完成時間為 1 小時

Deep Learning Overview

In this module, we will discuss the history of Deep Learning, how it is used, and how it is revolutionizing the field of Computer Vision....
4 個視頻 (總計 10 分鐘), 1 個閱讀材料
4 個視頻
Convolutional Neural Networks2分鐘
LSTM, RNN & ResNet1分鐘
Generative Models2分鐘
1 個閱讀材料
Resources (Optional) Deep Learning Overview30分鐘
4
完成時間為 1 小時

Deep Learning in Computer Vision: Applications

This module provides information about the various applications of Deep Learning in Computer Vision....
8 個視頻 (總計 15 分鐘), 2 個閱讀材料
8 個視頻
Face Detection & Recognition1分鐘
Image Segmentation1分鐘
Video Understanding1分鐘
Future of Computer Vision1分鐘
Human-Machine Interaction1分鐘
Future Research Areas3分鐘
Evolution of Computer Vision2分鐘
2 個閱讀材料
Resources (Optional): Deep Learning in Computer Vision: Applications30分鐘
Visual Recognition & Understanding - Key Takeaways10分鐘

講師

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

Associate Professor and Director of Visual Computing Lab
Computer Science and Engineering

關於 纽约州立大学布法罗分校

The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs....

關於 纽约州立大学纽约州立大学

The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe....

關於 计算机视觉 專項課程

This specialization provides a foundation in the rapidly expanding research field of computer vision, laying the groundwork necessary for designing sophisticated vision applications. Learners explore the integral elements that enable vision applications, ranging from editing images to reading traffic signs in self-driving cars to factory robots navigating around human co-workers. Content includes image processing and state-of-the-art vision techniques, augmented by insights from top leaders in the computer vision field. Learners gain hands-on experience writing computer vision programs through online labs using MATLAB and supporting toolboxes. The specialization is taught in MATLAB* using computer vision and supporting toolboxes. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables). To learn more, check out a video overview at https://youtu.be/OfxVUSCPXd0. * A free license to install MATLAB for the duration of the course is available from MathWorks....
计算机视觉

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