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인스타그램 태그 검색으로 게시글 가져오기


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페이스북, 사진공유 앱으로 중국 몰래 중국 진출


중국에서는 페이스북, 트위터, 인스타그램, 구글 등을 이용할 수 없다. 
대신 중국인들은 웨이보, 위챗과 같은 중국 플랫폼을 활발하게 사용 중이다. 호시탐탐 중국 진출을 노려오던 페이스북이 이제 우회로를 택한 모양이다. 

페이스북이 중국의 벽을 뚫고 ‘컬러풀 벌룬’이라는 사진공유 앱을 5월 출시했다. 
 지난 주 <뉴욕타임스>는 페이스북이 자사 이름을 감추고 현지 회사인 Youge Internet Technology를 통해 사진공유 앱을 출시했다고 보도했다. 


앱의 이름은 ‘컬러풀 벌룬’으로 페이스북이 내놓은 모먼츠 앱과 매우 유사하다. 
모먼츠 앱은 스마트폰 사진첩을 읽고 얼굴을 분석해, 페이스북 친구들과 찍은 사진을 공유할 수 있다. 

컬러풀 벌룬도 시간, 위치 및 문자를 기반으로 사용자의 사진과 비디오를 그룹화할 수 있다. 
앨범을 만들고 친구 및 가족과도 공유할 수 있다.
컬러풀 벌룬 앱을 쓰기 위해서는 먼저 중국 전화번호를 등록해야 한다. 
앱은 위챗과 연결되며 사진 공유는 QR코드를 통해 이뤄진다. 
인앱 링크로는 공유가 불가능하고 앱 스토어 검색으로만 앱을 내려받을 수 있는 것으로 알려졌다. 

페이스북은 “우리는 오랫동안 우리가 중국에 관심을 가지고 있었고 중국에 대해 더 많은 것을 배우는 데에 시간을 투자하고 있다”면서 “우리의 초점은 중국 기업과 개발자들이 우리 광고 플랫폼을 사용하여 중국 이외의 새로운 시장으로 진출할 수 있도록 돕는 데 있다”라고 에 전했다. 

중국은 2009년 소셜 네트워크 서비스를 차단했고 2014년에는 사진공유 앱 ‘인스타그램’도 막았다. 메신저 앱인 ‘왓츠앱’은 지난 달 부분적으로 차단됐다. 이렇듯 철옹성 같던 중국이 페이스북의 ‘잔꾀’를 지켜만 보고 있을까? 오히려 중국과 조금씩 쌓아온 신뢰를 저버리는 행위로 받아들일 가능성이 높다.



彩色气球 - 朋友和家人的共享相册

By 有格互联网科技

 


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[ML] TensorFlowKR/MLJejuCamp  Final Presentation (2017. 07. 27 - 28)




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Machine Learning Jeju Camp 


GitHub -  https://github.com/TensorFlowKR/MLJejuCamp



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

Benefits (TBD)

  • Full month of hands-on experience training deep learning models with TensorFlow and mentorship from top developers
  • Round-trip airfare to Jeju Island (up to $300 USD)
  • Accomodation in Jeju National University or Kakao Space, Jeju
  • Stipend: 1,000 USD (can be used for the airfare, etc.)
  • Google Cloud Credit ($500~1000 TBD)

Qualification

  • No nationality, gender, age, degree, education requirements
  • Must be able to stay in Jeju Island from July 3rd to 28th. (Weekday camp programs run from 10AM to 5PM)
  • Good understanding of TensorFlow and deep learning and ability to train models (should be able to understand all in https://github.com/hunkim/DeepLearningZeroToAll)
  • Being able to release the code written during the camp publicly on github
  • Basic communication skills in English (All programs will be in English)

Application Closed! (By April 20 11:59PM AOE)

  • Detailed proposal for Deep Learning Camp Jeju 2017 project (Please be as detailed as possible)
  • CV that showcases applicant’s experience with deep learning and TensorFlow
  • Previously implemented models (GitHub or other)
  • Other supporting materials to show your qualification
  • Application link (closed): https://www.surveymonkey.com/r/LY29GM5

Proposal examples:

  • “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: What type of Visa is required for foreigners?

A: No visa is required for most countries. Please check at http://www.immigration.go.kr/HP/IMM80/imm_04/imm_p01/vm3.jsp

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.

Q: Can developers/researchers working on longer term projects like http://ai-on.org/projects/cardiac-mri-segmentation.html apply? In this case, one month may not be sufficient time to finish the work. Is it OK to apply?

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?

A: Please use the issue (https://github.com/TensorFlowKR/MLJejuCamp/issues) of this page to ask questions.

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기본 셸 명령

셸에서는 디렉토리와 파일을 만들고 관리할 수 있으며 현재 사용자가 보고 있는 디렉토리를 변경(이동)할 수도 있다. 다음은 셸에서 많이 사용되는 몇가지 명령을 정리한 것이다.


명령 윈도우즈 셸 맥/리눅스 셸
화면 지우기 cls ctrl+l
현재 디렉토리 이름 출력 cd pwd
현재 디렉토리의 파일 목록 출력 dir ls -Fcal
한 칸 위의 디렉토리로 이동 cd .. cd ..
한 칸 아래의 디렉토리로 이동 cd 디렉토리이름 cd 디렉토리이름
파일 지우기 del 파일이름 rm 파일이름
디렉토리 만들기 mkdir 디렉토리이름 mkdir 디렉토리이름
디렉토리 지우기 rmdir 디렉토리이름 rmdir 디렉토리이름
셸 나가기 exit exit


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노가다 없는 텍스트 분석을 위한 한국어 NLP - pycon kr 2017



파이콘 2017 에서 발표할 한국어 자연어처리 문서입니다. 확률 모델이 아닌, 분석하려는 데이터 기반으로 단어 추출 / 명사 추출 / 토크나이징 / 사용자 사전 + KoNLPy 응용의 내용이 담겨 있습니다.


Soy Korean Natural Language Processing Toolkits 

customized KoNLPy - KoNLPy + 사용자사전


 

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