Workshops and Keynotes materials
All materials received from speakers and VIDEOs are available at the School schedule page (separately for each lecture).
Amazon Tuesday Meetup 5.30-8.00 PM
Amazon Development Center Poland – Deep Learning Meetup
Agenda and more details here.
2019 ISSonDL Decoding Competition
Decode sentence placed on our Department building and submit your answer here.
Information about sightseeing tour on Thursday
Details about Gdansk sightseeing tour on Thursday: Tour Plan , Tour Organizational Details
Please send email to magmilec@pg.edu.pl if you want to participate in this tour.
2019 ISSonDL Game Competition
Great awards await for the best Flappy Neptun player. The winner will be announced during the closing ceremony.
Game portal: Flappy Neptun
How to play: Instruction
Conference booklet
The conference booklet is available for download ISSonDL Booklet
Schedule
The preliminary schedule is available here: http://2019.dl-lab.eu/schedule
Accommodation
Detailed information about the budget accommodation can be found on the Venue subpage: http://2019.dl-lab.eu/venue/
Grants (only for PhD students)
There is an opportunity to apply for a small grant to cover some travel/stay costs. Please find more information at: https://pg.edu.pl/prom/
Acceptance decisions
All registered applicants should have received an email from us about the acceptance decisions by now. If you haven’t heard anything from us, please double-check your email account that you used during the registration. If you still can’t find any message from us regarding the acceptance decision, please contact jacek.ruminski@pg.edu.pl
Fee
Payment information is available here: http://2019.dl-lab.eu/registration/registration-fee/
Registration
Registration is now closed. We received applications from more than 75 different places around the world – thank you!
International Summer School on Deep Learning 1-5 July, 2019, Gdansk, Poland
International Summer School on Deep Learning will introduce participants with fundamentals of deep learning methods. Outside of the basecamp, special sessions and keynotes are planned to keep the audience up to date with the latest advances in this fascinating research area. Outstanding speakers and experienced instructors from all over the world will present scientific background, practical issues and perspectives for the future of deep learning methods. The keynote lectures and mini courses will cover topics ranging from fundamentals of neural networks to practical implementations and applications of deep learning. We invite students, researchers and professionals to participate in this unique event that will keep you on track, help unleashing new ideas and give you a chance to be a part of mind-blowing conversations.
Hands-on
One of the main goals of this event is gaining practical experience to put deep learning theory into practice and make it more relevant for all attendees. Running your own experiments will be possible with interactive course resources available online, for example Jupyter notebooks. Therefore, do not forget to take your mobile computer with you! Additionally, recent hardware solutions, including NVIDIA DGX Station and Intel-based platforms, will be used to run live demonstrations.
Interactive
During the event, participants will have a chance to be involved in the conversations and exchange ideas not only during scientific meetings but also during get together parties. Moreover, attendees will have the opportunity to present their own work or future plans related to deep learning.
Challenges
Just as last year, also in this edition of ISSDL we plan to end the event with exciting challenges with certificates and valuable prizes to win.
Certificates
All participants actively taking part in the training will receive a certificate with detailed information about learnt topics and attended training hours.
Cost-effective
About 40 university hours of trainings will be provided for an affordable price. Students, including PhD students, will pay no more than 199 Euro for the entire event.
Organizers
General Chair
Jacek Ruminski, prof. GUT
jacek.ruminski@pg.edu.pl
Training Program Chair
Alicja Kwasniewska, Intel and GUT
alicja.kwasniewska@intel.com
Publicity Chair
Maciej Szankin, Intel
maciej.szankin@intel.com
Organizing Committee
Jacek Ruminski, prof. GUT
jacek.ruminski@pg.edu.pl
Alicja Kwasniewska, Intel and GUT
alicja.kwasniewska@intel.com
Maciej Szankin, Intel
maciej.szankin@intel.com
Mariusz Kaczmarek, prof. GUT
mariusz.kaczmarek@eti.pg.edu.pl
Tomasz Kocejko, GUT
kocejko@gmail.com
