Information
Deep Learning Camp Jeju is an annual camp held at Jeju Island, South Korea, which was first launched in 2017 with 20 participants from all over the world.
This year, it will again be hosting 20-30 participants, that come from various backgrounds but all interested in practicing and advancing deep learning.
Why should I apply?
- You will have one whole month at Jeju to focus on a deep learning based project, surrounded by top-class fellow researchers/developers
- You will team up with wonderful mentors, that will help you progress your project
- You will be provided full accommodation support, 1,000 USD stipend, and up to 300 USD support for flights to Jeju
- You will be also provided 1,000 USD worth of Google Cloud credits with access to TPU
How does this work?
- All applicants will suggest a research topic, which will be reviewed and selected by mentors and organizers (See topics from 2017)
- Each participant will work on the topic for one month pre-camp, with support from a mentor
- Each participant will work on the topic for one month on-site, at Jeju
- At the end of the camp, each participant will be expected to release project results as follows:
- Present final results at presentation day of the camp
- Release code implemented in TensorFlow as open source on GitHub
- Upload one technical paper of at least 3 pages uploaded to arXiv
- Last but not least, have fun!!!
Why Jeju?
- No visa is required for most international visitors to stay up to 30 days
- Jeju is a beautiful island, often referred to as the “Hawaii” in Asia
Important Dates
| Date (UTC) | Description |
|---|---|
| 2018-04-02 (Mon) | Applications open |
| 2018-04-30 (Mon) | Applications closed |
| 2018-05-23 (Wed) | Teams announced (email was sent) |
| 2018-06-01 (Fri) | Start camp online |
| 2018-07-01 (Sun) | Gather at Jeju |
| 2018-07-02 (Mon) | Start camp offline |
| 2018-07-13 (Fri) | Mid-term conference & presentation |
| 2018-07-27 (Fri) | Final presentation day! |
Application
Requirements
- Able to stay at Jeju during the full period of the camp
- Obtains strong programming skills with TensorFlow (TF) & deep learning (DL) background
- Willing to work intensively for one month and cooperatively work with mentors
- Willing to produce practical applications of TF/DL and/or research results
How to apply
We are accepting applications through the following form:
Applications will be accepted until April 30th, 2018 (UTC) (or precisely 2018-04-30T23:59:59Z).
In your timezone, it's
FAQ
- Can I propose more than one project?
- Sure! Just include both topics in your application.
- Can I apply as a team?
- We value teamwork but are currently seeking for individual participants.
- Can I join the camp with my own money if my proposal is not selected?
- No, because we have limited space, but you may consider applying to the Deep learning summer school and/or hackathon which will have separate application processes.
- Will datasets be provided?
- No, the participant should prepare their own datasets.
- Can we just implement previously existing models, or should we have new ideas?
- It’s okay to just do an implementation of a model, but it is definitely preferred to have an idea to improve that model or build a real-life application using it.
- Am I allowed to bring a partner?
- Unfortunately, we only provide accommodations for the participants. You can book your own accommodations if you wish to stay with your partner during the camp.
- Are there restrictions on licenses of the to-be-released open source code?
- An MIT license is recommended but can be changed with your mentor’s consent.
- Are there restrictions on the authorship of the to-be-released technical paper?
- The paper should include you and your mentor but can be extended with your mentor’s consent.
- How does the mentoring work?
- Most mentors are machine learning and/or deep learning experts, that have a full-time job. This means they will not be on-site most of the time, but are very enthusiatic to help you out! So please actively ask questions and start discussions with them.
- Can I develop on Keras or other ML framework/library?
- You can use Keras including other framework/library that can run on top of TensorFlow.
Results
Below are links to final presentations, from our fascinating participants: