课程信息
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第 6 门课程(共 6 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为14 小时

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

英语(English)

字幕:英语(English)
User
学习Professional Certificate的学生是
  • Machine Learning Engineers
  • Data Scientists
  • Operations Analysts
  • Technical Solutions Engineers
  • Founders

您将获得的技能

Artificial Intelligence (AI)OpencvComputer Visionwatson
User
学习Professional Certificate的学生是
  • Machine Learning Engineers
  • Data Scientists
  • Operations Analysts
  • Technical Solutions Engineers
  • Founders

第 6 门课程(共 6 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为14 小时

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

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 1 小时

Introduction to Computer Vision

5 个视频 (总计 19 分钟), 2 个阅读材料, 2 个测验
5 个视频
Introduction to Computer Vision4分钟
Applications of Computer Vision3分钟
Recent Research in Computer Vision4分钟
Brainstorming Your Own Applications3分钟
2 个阅读材料
Welcome2分钟
Articles10分钟
2 个练习
Practice Assessment8分钟
Graded - (10%) Overview of Computer Vision and its Applications20分钟
完成时间为 1 小时

Image Classification with IBM Watson

6 个视频 (总计 24 分钟), 1 个阅读材料, 2 个测验
6 个视频
Watson Visual Recognition in Action2分钟
Getting Started with Watson Visual Recognition2分钟
Classification with Watson Visual Recognition2分钟
Working with Custom Classifiers5分钟
Custom Image Classifiers with IBM Watson4分钟
1 个阅读材料
LAB: Classifying Images with IBM Watson30分钟
2 个练习
Practice Assessment8分钟
Graded - (10%) Classifiers with IBM Watson VR - Part 120分钟
完成时间为 1 小时

Custom Classifiers with Watson Visual Recognition

3 个视频 (总计 8 分钟), 2 个阅读材料, 1 个测验
3 个视频
Classifying with Negative Examples2分钟
Retrain a Visual Recognition Model with Negative Images2分钟
2 个阅读材料
Industry Case Studies with Custom Image Classifiers10分钟
LAB: Testing and Training a Custom Classifier30分钟
1 个练习
Graded - (10%) Classifiers with IBM Watson VR - Part 225分钟
2
完成时间为 4 小时

Image Processing using IBM Watson and Python

4 个视频 (总计 23 分钟), 3 个阅读材料, 4 个测验
4 个视频
Using Watson Visual Recognition10分钟
Applications of Watson Visual Recognition6分钟
Using the Watson VR API with Python4分钟
3 个阅读材料
[Important Reminder] : Completion of Labs2分钟
Instruction for Obtaining your API Key2分钟
Articles10分钟
2 个练习
Practice Assessment20分钟
Graded - (20%) Image Processing using IBM Watson40分钟
3
完成时间为 4 小时

Face Detection and Image Processing using OpenCV and Python

3 个视频 (总计 22 分钟), 2 个阅读材料, 5 个测验
3 个视频
Detecting Faces with Cascade Filters9分钟
Detecting Eyes with Cascade Filters6分钟
2 个阅读材料
[Important Reminder]: Completion of Labs2分钟
Instruction for Obtaining your API Key2分钟
2 个练习
Practice Assessment20分钟
Graded - (20%) Face Detection and Image Processing using OpenCV40分钟
4
完成时间为 3 小时

Project: Building a Web-Based Computer Vision App

2 个阅读材料, 2 个测验
2 个阅读材料
Project: How to deploy your VR Classifier10分钟
Instruction for Obtaining your API Key2分钟
4.6
10 个审阅Chevron Right

来自Introduction to Computer Vision with Watson and OpenCV的热门评论

创建者 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.

创建者 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!

讲师

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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

关于 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....

关于 IBM Applied AI 专业证书

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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  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

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  • 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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