Our Sponsors
Deep Learning Summit - San Francisco - 17-18 February, 2022
Website https://go.evvnt.com/957227-4?pid=4800 |
Edit Freely
Category Conferences; Engineering; Technology; Artificial Intelligence (AI)
Deadline: February 16, 2022 | Date: February 17, 2022-February 18, 2022
Venue/Country: Hotel Nikko San Francisco, U.S.A
Updated: 2021-12-30 21:42:55 (GMT+9)
Call For Papers - CFP
The Deep Learning Summit will explore the latest technological advancements in Deep Learning as we hear from industry experts and leading researchers working across topics including Natural Language Processing (NLP), meta-learning, Deep Neural Networks (NNs), Generative Adversarial Networks (GANs), one-shot learning, and much more. This is your opportunity to discover the latest insights and trends, evaluate your position within the industry, discover how the latest methods can affect you and your brand, and network with like-minded peers from an array of fields to foster partnerships and deepen your knowledge.URLs:Booking: https://go.evvnt.com/957227-0?pid=4800
Tickets: https://go.evvnt.com/957227-2?pid=4800LinkedIn: https://go.evvnt.com/957227-3?pid=4800Facebook: https://go.evvnt.com/957227-5?pid=4800Price:Early Bird Pass: USD 1295.00Speakers: Maithra Raghu, Sr Research Scientist, Google Brain, Lex Fridman, AI Researcher, MIT, Dawn Song, Professor of Computer Science, UC Berkeley, Sudeep Das, Senior Researcher, Netflix, Ryan Alimo, Lead Machine Learning Scientist, NASA Jet Propulsion Laboratory, Ilya Eckstein, ML / AI Researcher, Google, Sergey Levine, Assistant Professor, UC BerkeleyTime: 8:00 am to 3:00 pmVenue details: Hotel Nikko San Francisco, 222 Mason Street, San Francisco, California, 94102, United StatesKeywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.