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다음 전문 분야의 6개 강좌 중 6번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 13시간 필요

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

영어

자막: 영어

귀하가 습득할 기술

Artificial Intelligence (AI)OpencvComputer Visionwatson

다음 전문 분야의 6개 강좌 중 6번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 13시간 필요

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

영어

자막: 영어

Professional Certificate을(를) 수강하는 학습자

  • Data Scientists
  • Machine Learning Engineers
  • Founders
  • Software Engineers
  • Researchers

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 1시간 필요

Introduction to Computer Vision

5개 동영상 (총 19분), 2 readings, 2 quizzes
5개의 동영상
Introduction to Computer Vision4m
Applications of Computer Vision3m
Recent Research in Computer Vision4m
Brainstorming Your Own Applications3m
2개의 읽기 자료
Welcome2m
Articles10m
2개 연습문제
Practice Assessment8m
Graded - (10%) Overview of Computer Vision and its Applications20m
완료하는 데 1시간 필요

Image Classification with IBM Watson

6개 동영상 (총 24분), 1 reading, 2 quizzes
6개의 동영상
Watson Visual Recognition in Action2m
Getting Started with Watson Visual Recognition2m
Classification with Watson Visual Recognition2m
Working with Custom Classifiers5m
Custom Image Classifiers with IBM Watson4m
1개의 읽기 자료
LAB: Classifying Images with IBM Watson30m
2개 연습문제
Practice Assessment8m
Graded - (10%) Classifiers with IBM Watson VR - Part 120m
완료하는 데 1시간 필요

Custom Classifiers with Watson Visual Recognition

3개 동영상 (총 8분), 2 readings, 1 quiz
3개의 동영상
Classifying with Negative Examples2m
Retrain a Visual Recognition Model with Negative Images2m
2개의 읽기 자료
Industry Case Studies with Custom Image Classifiers10m
LAB: Testing and Training a Custom Classifier30m
1개 연습문제
Graded - (10%) Classifiers with IBM Watson VR - Part 225m
2
완료하는 데 4시간 필요

Image Processing using IBM Watson and Python

4개 동영상 (총 23분), 3 readings, 4 quizzes
4개의 동영상
Using Watson Visual Recognition10m
Applications of Watson Visual Recognition6m
Using the Watson VR API with Python4m
3개의 읽기 자료
[Important Reminder] : Completion of Labs2m
Instruction for Obtaining your API Key2m
Articles10m
2개 연습문제
Practice Assessment20m
Graded - (20%) Image Processing using IBM Watson40m
3
완료하는 데 4시간 필요

Face Detection and Image Processing using OpenCV and Python

3개 동영상 (총 22분), 2 readings, 5 quizzes
3개의 동영상
Detecting Faces with Cascade Filters9m
Detecting Eyes with Cascade Filters6m
2개의 읽기 자료
[Important Reminder]: Completion of Labs2m
Instruction for Obtaining your API Key2m
2개 연습문제
Practice Assessment20m
Graded - (20%) Face Detection and Image Processing using OpenCV40m
4
완료하는 데 3시간 필요

Project: Building a Web-Based Computer Vision App

2 readings, 2 quizzes
2개의 읽기 자료
Project: How to deploy your VR Classifier10m
Instruction for Obtaining your API Key2m
4.6
9개의 리뷰Chevron Right

Introduction to Computer Vision with Watson and OpenCV의 최상위 리뷰

대학: 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.

대학: 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!

강사

Avatar

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

IBM 정보

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....

IBM Applied AI 전문 자격증 정보

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

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 수료 과정의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

  • 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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