The Race For AI: Practical Deep Learning- Exploring Embedded Spaces

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A new meetup by AI IL (https://www.meetup.com/artificial-intelligence-il/) meetup group:

Agenda:
18:30-19:00: Gathering (food and drinks)
19:00 –20:30- "Practical Deep Learning-Exploring Embedded Spaces"- Roni Wiener (https://il.linkedin.com/in/roni-wiener-96146b60), founder of Keotic (http://www.keotic.com/)

Abstract:
Deep Learning has gained much hype and momentum in recent years, both in academic and industrial fields. In this talk we will review the recent developments and achievements of Deep Learning, especially of Deep Neural Networks, emphasizing their derived embedded spaces.
This talk will not involve complex mathematical explanations of the networks, but rather focus on popular architectures, the problems they solve and products that they power

Bio:
Founder of Keotic, an AI driven company. Roni blends his 12 years of experience in building complex systems and algorithms, with a business oriented strategic state of mind.
As a former AOLer, he explored new ways to tackle real life disambiguation problems, which eventually lead to AOL’s entity resolver.
Roni’s areas of interest include: Deep Learning, Artificial Intelligence, Cognitive Science, Natural Language Processing, Machine Learning and Data Science.
Alongside his role at Keotic, he is currently serving as an advisor to various companies in these field