課程信息
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第 6 門課程(共 6 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。

初級

完成時間大約為14 小時

建議:4 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)...

英語(English)

字幕:英語(English)
User
學習Professional Certificate的學生是
  • Machine Learning Engineers
  • Data Scientists
  • Operations Analysts
  • Technical Solutions Engineers
  • Founders

您將獲得的技能

Artificial Intelligence (AI)OpencvComputer Visionwatson
User
學習Professional Certificate的學生是
  • Machine Learning Engineers
  • Data Scientists
  • Operations Analysts
  • Technical Solutions Engineers
  • Founders

第 6 門課程(共 6 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。

初級

完成時間大約為14 小時

建議:4 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)...

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 Computer Vision

5 個視頻 (總計 19 分鐘), 2 個閱讀材料, 2 個測驗
5 個視頻
Introduction to Computer Vision4分鐘
Applications of Computer Vision3分鐘
Recent Research in Computer Vision4分鐘
Brainstorming Your Own Applications3分鐘
2 個閱讀材料
Welcome2分鐘
Articles10分鐘
2 個練習
Practice Assessment8分鐘
Graded - (10%) Overview of Computer Vision and its Applications20分鐘
完成時間為 1 小時

Image Classification with IBM Watson

6 個視頻 (總計 24 分鐘), 1 個閱讀材料, 2 個測驗
6 個視頻
Watson Visual Recognition in Action2分鐘
Getting Started with Watson Visual Recognition2分鐘
Classification with Watson Visual Recognition2分鐘
Working with Custom Classifiers5分鐘
Custom Image Classifiers with IBM Watson4分鐘
1 個閱讀材料
LAB: Classifying Images with IBM Watson30分鐘
2 個練習
Practice Assessment8分鐘
Graded - (10%) Classifiers with IBM Watson VR - Part 120分鐘
完成時間為 1 小時

Custom Classifiers with Watson Visual Recognition

3 個視頻 (總計 8 分鐘), 2 個閱讀材料, 1 個測驗
3 個視頻
Classifying with Negative Examples2分鐘
Retrain a Visual Recognition Model with Negative Images2分鐘
2 個閱讀材料
Industry Case Studies with Custom Image Classifiers10分鐘
LAB: Testing and Training a Custom Classifier30分鐘
1 個練習
Graded - (10%) Classifiers with IBM Watson VR - Part 225分鐘
2
完成時間為 4 小時

Image Processing using IBM Watson and Python

4 個視頻 (總計 23 分鐘), 3 個閱讀材料, 4 個測驗
4 個視頻
Using Watson Visual Recognition10分鐘
Applications of Watson Visual Recognition6分鐘
Using the Watson VR API with Python4分鐘
3 個閱讀材料
[Important Reminder] : Completion of Labs2分鐘
Instruction for Obtaining your API Key2分鐘
Articles10分鐘
2 個練習
Practice Assessment20分鐘
Graded - (20%) Image Processing using IBM Watson40分鐘
3
完成時間為 4 小時

Face Detection and Image Processing using OpenCV and Python

3 個視頻 (總計 22 分鐘), 2 個閱讀材料, 5 個測驗
3 個視頻
Detecting Faces with Cascade Filters9分鐘
Detecting Eyes with Cascade Filters6分鐘
2 個閱讀材料
[Important Reminder]: Completion of Labs2分鐘
Instruction for Obtaining your API Key2分鐘
2 個練習
Practice Assessment20分鐘
Graded - (20%) Face Detection and Image Processing using OpenCV40分鐘
4
完成時間為 3 小時

Project: Building a Web-Based Computer Vision App

2 個閱讀材料, 2 個測驗
2 個閱讀材料
Project: How to deploy your VR Classifier10分鐘
Instruction for Obtaining your API Key2分鐘
4.6
10 個審閱Chevron Right

來自Introduction to Computer Vision with Watson and OpenCV的熱門評論

創建者 SSAug 20th 2019

This is one of the best course by IBM. I specifically enjoyed Computer Vision modelling and its related project and also enjoyed the way team put in effort for designing this course.

創建者 SCJul 14th 2019

Great introduction to Visual Recognition and Computer Vision! Lots of examples are provided for me to grasp the concepts behind complicated applications!

講師

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Yi Leng Yao

MSc., Data Scientist, Software Engineer
IBM Skills Network
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Sacchit Chadha

Software Engineer @ IBM | Rising Computer Science Senior @ UWaterloo

關於 IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

關於 IBM Applied AI 專業證書

Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer. It will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web. Rather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions....
IBM Applied AI

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  • 您注册课程后,将有权访问证书中的所有课程,并且会在完成作业后获得证书。您的电子证书将添加到您的成就页中,您可以通过该页打印证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

  • After completing this course you will be able to:

    ●      explain what computer vision is and its applications

    ●      understand the roles of Python, OpenCV and IBM Watson in computer vision

    ●      classify images utilizing IBM Watson, Python, and OpenCV

    ●      build and train custom image classifiers using Watson Visual Recognition API

    ●      process images in Python using OpenCV

    ●      create an interactive computer vision web application and deploy it to the cloud

  • No specialized hardware or software is required to complete this course. You will perform all labs and projects in a cloud environment and work with Python in Jupyter Notebooks, OpenCV, and IBM Watson Visual Recognition. Instructions for no-charge access to IBM Cloud is provided. You will require a modern web browser (i.e. recent versions of Chrome or Firefox).

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