Call for application for Machine Learning Camp Jeju 2017
If you have studied machine learning/deep learning and TensorFlow, you probably want to implement a non-trivial and large-scale system for real use. We invite you to the month-long Machine Learning Camp Jeju 2017, where you can make that dream a reality.
For a full month in beautiful Jeju Island, you and other participants will train a deep learning model using TensorFlow from start-to-finish. Jeff Dean (Google Senior Fellow via Hangout), Rajat Monga (Google/TensorFlow Director (TBC)), and Prof. KyungHyun Cho (NYU) will give us keynote talks. Plus, you will have access to experienced mentors including Namju Kim (Head of Research for Kakao Brain), Sung Kim (HKUST), Lucy Park (TF-KR), Donghyun Kwak (TF-KR), Terry Taewoong Um (TF-KR), and many more. We hope you take advantage of this wonderful opportunity.
Those selected as participants will be provided with one round-trip airfare (up to 300 USD) to Jeju Island (South Korea), room and board at Jeju National University, USD 1,000 in stipends (can be used for the airfare, etc.) and USD 500 to 1,000 in Google Cloud Credit. In addition to these benefits, participants will gain valuable and practical experience in the field of deep learning. We look forward to your application!
Mentor Recruitment: If you’re interested in sharing your experiences and expertise with the camp, please contact us at mljejucamp@googlegroups.com. You will serve as personal mentors to 1 to 2 participants, holding 2 to 3 on/offline meetings a week to help them successfully complete their projects. While it is possible for you to provide online-only mentoring, we suggest you visit Jeju Island to meet with your mentees in person. We will provide round-trip airfare (up to USD 300) to Jeju Island and up to five (5) days of room and board.
(Information regarding schedule, program and benefits are subject to change as we are in the process of finalizing the details. We will have more information later.)
Camp Overview
Date: July 3rd through 28th, 2017 (Check-in date: July 2nd)
Participants: 20
Location: Jeju National University / Kakao Space.1
Organizers: TensorFlow Korea User Group, Kakao, Google, Smart Grid CK Center in Jeju National Univ, Jeju Center for Creative Economy and Innovation, Jeju Local Government (Subject to change)
“I will implement paper X from 2016 NIPS Conference using TensorFlow and apply idea Y to the implementation”
“My goal is to add idea X to existing TensorFlow model Y and apply it to dataset Z” (Please justify why you are interested in the particular paper, model, dataset, etc. Write your proposal as detailed as possible as it will be the primary criteria to select participants.)
Basic Tasks (but not limited to)
Each participant will implement own deep learning related ideas and recently published ideas (in ICML, ICLR, NIPS, etc.) in TensorFlow. Or adapt already implemented ideas to new dataset. Participants will propose in the application.
Participate in camp program. (10AM-5PM on weekday basis from July 1 to July 30)
Deep learning and TensorFlow expert mentors will advise each participant.
Release the code on the github as Open Source.
Camp rules
participants may be dismissed from the camp for the following or similar reasons:
Repeatedly engage in behavior that negatively impacts other participants' work
Spend unreasonable amount of time on non-camp related tasks.
More than 3 missed camp days without proper notice.
Important dates
Application due: April 20 (AOE time zone)
Notification: May 10
Mentor assignment and online discussion: June 1
Camp starts: July 3
About Jeju
Located just off the coast of the Korean peninsula, Jeju Island is the largest volcanic island in Korea. Also known as Asia's Hawaii, the island is rife with beautiful sceneries and getaway resorts. Jeju boasts several natural treasures including Mount Halla, the country's highest peak, Trail Olle that winds around the rocky coastline, and Sunrise Peak, a dormant volcano ideal for catching sunrises and sunsets. You will be able to fully experience the island's charm for as long as a month without a visa. For more information, please visit at: http://www.visitjeju.net/en/index.jto.
About Camp
Deep Learning Camp Jeju 2017 is a month-long program (July 3-28, 2017) where participants gain hands-on experience with TensorFlow through individual-based projects with the goal of implementing new deep learning related ideas, and/or already-published ideas. We are looking for approximately 20 participants. More than a dozen industry experts with strong backgrounds in deep learning and TensorFlow implementation will serve as project mentors to guide participants.
FAQs
Q: What are we doing during the one month program?
A: Basically, we design a deep learning model and fully implement using TensorFlow. It is also possible to (re) implement a published paper (by others) and adapt it for new datasets. Based on this, each participants will propose their own plans in their application.
Q. Can I apply for partial participation? (i.e. only weekends)
A: Unfortunately No.
Q: Is this only for students?
A: No. Anyone who can spend one full month in Jeju Island in Korea, and work from 10AM-5PM during the weekdays can apply.
Q: Is this a contest?
A: No, this is not a contest. Individuals will have different projects.
Q: Is this a training or teaching program?
A: This is not specifically a teaching event. The applicant should have good understandings on programming, machine learning/deep learning, and TensorFlow. However, we will provide mentors to assist you on your project.
Q: Will data for training be provided or it is up to participants?
A: We will provide some public data sets but participants can also utilize their own data.
Q: Should I bring my laptop?
A: We won’t provide PCs. You need to bring your laptop. However, we will provide cloud server credits.
Q: Training takes a lot of time and computing power. Does the camp provide any support?
A: We will provide cloud server credits.
Q: What are the criteria for selecting applicants?
A: There is no formal criteria, but we are looking for interesting and feasible projects.
Q: What if the attendee cannot complete the work that they submitted?
A: There is no penalty, but mentors will guide each participant to success.
A: It’s OK. As long as the project is interesting, we will consider it. You can also propose a small portion of a larger project that you wish to work on for a month.
Q: Is this only for deep learning? Can I propose a reinforcement learning project?
A: Yes, reinforcement learning is acceptable. Feel free to include other types of interesting machine learning projects.
Q: Can I participate in a keynote session or open seminars even though I am not a camp participant?
A: Yes, the keynote and open seminars are open to everyone. We will have a separate announcement regarding keynote sessions and open seminars.
Q: Will you also be recruiting staff members for the camp?
A: Sorry, but we have no current plans to recruit staff members.
Q: I do have more questions. Where should I contact?
앱 정보와 모니터링 메시지를 수신할 전화번호를 입력하고, 개인정보 수집 및 이용에 동의한 뒤 정보를 저장하여 앱을 생성합니다.
3.2. 자동응답 서비스 시작
자동응답 서비스가 개발 완료되어 서비스 가능한 상태가 되면, 다음 단계에 따라 서비스를 시작할 수 있습니다.
API TEST : 등록한 앱 url 우측의 API TEST 버튼을 클릭하여 서비스 시작 가능여부를 체크합니다. 필수 API인 Home Keyboard API가 정상적인 응답을 받지 못하는 경우 서비스 시작이 불가합니다.
서비스 시작 : API 테스트를 통과한 경우, 서비스 시작 버튼을 클릭하면 자동응답 서비스가 시작됩니다.
기존에 (구) 플러스친구 API를 통해 사용중이던 봇이 있는 경우, 신규 API를 통해 자동응답 서비스를 시작하게 되면 (구)API를 이용한 봇은 자동으로 종료되며 다시 (구) 봇의 형태로 이용할 수 없습니다.
(구) 플러스친구에서 제공하던 테스트 플친은 더이상 제공되지 않습니다. 실서비스 적용 전 테스트를 원하시는 경우 테스트 전용으로 사용하실 별도의 플러스친구 계정을 생성하여 테스트를 진행해 주시기 바랍니다.
신규 API 자동응답은 키워드형 자동응답과 동시에 사용할 수 없습니다. 다만 API 자동응답의 서비스 중지 후 키워드형 자동응답을 사용하는 것은 가능합니다.
3.3. 자동응답 서비스 중지
직접 중지 : 더 이상 자동응답 서비스를 이용하지 않으시려면, 운영툴의 자동응답 > 자동응답 API 메뉴에서 '서비스 중지'를 통해 자동응답 기능을 중지할 수 있습니다.
오류 횟수 초과에 따른 중지 : 자동응답 서비스에서 오류가 발생하는 경우, 카카오는 앱 정보에 등록된 전화번호를 통해 모니터링 메시지를 발송합니다. 만일 오류 횟수가 일 3000건을 초과하게 되면 카카오는 자동으로 해당 앱의 서비스를 중지합니다. 오류 횟수 초과로 인해 중지된 앱은 운영툴에서 오류 수정 후 직접 다시 서비스를 시작할 수 있습니다.
관리자의 차단에 따른 중지 : 파트너사에서 플러스친구 API의 운영정책에 반하는 내용을 API를 통해 서비스하는 것이 확인된 경우, 카카오의 관리자는 해당 앱의 서비스를 중지할 수 있습니다. 관리자에 의해 차단된 앱은 직접 서비스를 다시 시작할 수 없으므로, 앱의 차단 사유를 확인하신 뒤 문제가 되는 내용을 수정하여 플러스친구 고객센터(1544-4293)를 통해 차단 해제를 요청해 주시기 바랍니다.
3.4. 클라이언트 테스트
자동응답 기능의 서비스가 시작되면 카카오톡 채팅방에서 직접 자동응답 기능을 실행할 수 있습니다. 신규 자동응답 API를 통한 자동응답 기능은 카카오톡 앱 안드로이드/iOS 5.4.0 버전부터 지원됩니다.
수정된 내용의 반영은 최대 1분까지 소요될 수 있으며, 채팅방을 나갔다 들어오는 시점을 기준으로 정보를 새로고침합니다.
1depth 이상의 자동응답을 구현하는 경우, 카카오톡에서는 자동응답 대화의 맥락을 유지하기 위해 이전 자동응답의 정보를 메시지 수신으로부터 10분간 보관합니다. 메시지를 받은 후 10분이 경과되면 자동으로 기존의 대화 맥락은 expire되며 Home keyboard 를 호출합니다.
클라이언트를 통해 노출되는 안내문구 ('원하는 버튼을 선택하세요')는 고정 문구로, 커스터마이즈할 수 없습니다.
실서비스 적용 전 테스트를 원하시는 경우 별도의 플러스친구를 생성하여 테스트를 진행해보실 수 있습니다.
