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?

How does this work?

Why Jeju?

Application

Requirements

How to apply

We are accepting applications through the following form:

[Click me!]

Applications will be accepted until April 30th, 2018 (UTC) (or precisely 2018-04-30T23:59:59Z).

In your timezone, it's

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
2018-07-26,27 (Thu,Fri) Final presentation day!

FAQ

  1. Can I propose more than one project?
    • Sure! Just include both topics in your application.
  2. Can I apply as a team?
    • We value teamwork but are currently seeking for individual participants.
  3. 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.
  4. Will datasets be provided?
    • No, the participant should prepare their own datasets.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.