KSC 2018 10월 04일(목) HOME > program

NVIDIA Deep Learning Institute(DLI) - KSC2018

Fundamentals of Deep Learning for Computer Vision

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.
In this course, you’ll learn the basics of deep learning by training and deploying neural networks. You’ll learn how to:

  • ◾Implement common deep learning workflows, such as image classification and object detection
  • ◾Experiment with data, training parameters, network structure, and other strategies to increase performance
      and capability
  • ◾Deploy your neural networks to start solving real-world problems

Upon completion, you’ll be able to start solving problems on your own with deep learning.

  • Prerequisites: None
  • Framework: Caffe
  • Certification Available

Education Program

시간 교육 내용 (Course) 강사
13:20-18:20 Fundamentals of Deep Learning for Computer Vision In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks.
You will:
• Implement common deep learning workflows such as Image Classification and Object Detection.
• Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.
• Deploy your networks to start solving real-world problems. On completion of this course, you will be able to start solving your own problems with deep learning.
한재근 과장 / NVIDIA

NVIDIA Deep Learning Institute(DLI) 사전 세팅 안내

1. NVIDIA Developer Account 생성

  • ◾ http://courses.nvidia.com/join에 접속합니다.
  • ◾ “Log in with my NVIDIA Account” 선택 후 “Create Account” 를 클릭하여 Account를 생성해주세요

2. WebSockets 상태 점검

  • ◾ 노트북에서 http://websocketstest.com 에 접속합니다.
  • ◾ ENVIRONMENT 란에 “WebSockets” 이 Yes로 표기 되어 있는지 확인해주세요.
  • ◾ WEBSOCKETS (PORT 80)에 “Data Reveice”, “Send,” 그리고 “Echo Test” 가 Yes 로 표기 되어 있는지 확인해주세요.

3. 만약 WebSockets 에 문제가 있다면 브라우저 업데이트를 해주세요.

  • ◾ 최적의 성능을 위해서는 Chrome, Firefox, Safari 를 사용하는 것이 좋습니다.

4. 이제 사전 세팅이 완료되었습니다.

  • ※ 핸즈온 실습 교육이며 개인 노트북을 반드시 지참해야 합니다.
  • ※ 본 강의에 참석하기전에 반드시 사전 세팅을 완료해 주시기 바랍니다.
  • ※ 실습을 위해 유선인터넷 라인을 제공하니 필히 유선인터넷 포트 또는 젠더를 꼭 지참하시기 바랍니다.
주최 한국과학기술정보원, 주관