What we're about

Machine Learning Tokyo (MLT) is an award-winning nonprofit organization 一般社団法人 based in Japan, operating globally and remotely. MLT is dedicated to democratizing Machine Learning through open education, open source and open science. We support a research- and engineering community of 6,000 members.

Open Education – MLT held more than 150 AI workshops, study sessions and talks with thousands of participants in Tokyo and with remote participants from all over the world. Our events are inclusive and with an open education mindset, individuals can attend all events free of charge.

Open Source – Several volunteer teams within the MLT community are working on Machine Learning, Deep Learning, Reinforcement Learning and Robotics projects, including substantial work that has been done in the field of AI for Social Good. All projects are hosted on the public Machine Learning Tokyo GitHub Organization; code bases and repositories are published as open source projects.

Open Science – MLT teams have published research papers at international ML conference workshops and we’re continuously collaborating with Universities and Research Institutes in Japan to support open science and researchers with diverse academic backgrounds, including the University of Tokyo, Tokyo Institute of Technology and RIKEN CBS. We organized lectures, bootcamps and workshops on Machine Learning, Deep Learning and Data Science.

Find more information about MLT:

Meetup: https://www.meetup.com/Machine-Learning-Tokyo/

Twitter: https://twitter.com/__MLT__

LinkedIn: https://www.linkedin.com/company/mltokyo/

Facebook: https://www.facebook.com/machinelearningtokyo/

MLT Blog: http://machinelearningtokyo.com/

● MLT PATRON ●
Become a MLT Patron and help us to keep MLT meetups like this inclusive and for free. https://www.patreon.com/MLTOKYO

● SUBSCRIBE ●
Subscribe to our monthly newsletter: https://mltokyo.ai/membership-join

● FIND MLT RESOURCES ●
Github: https://github.com/Machine-Learning-Tokyo
Youtube: https://www.youtube.com/MLTOKYO

Join us on Slack: https://bit.ly/2Yb0uXI

● RECRUITING ●
MLT events are for community building and knowledge sharing. We politely ask that company representatives, recruiters and consultants looking to hire or sell their services do not participate in MLT activities or approach members in any form.

● CODE OF CONDUCT
MLT promotes an inclusive environment that values integrity, openness and respect. https://github.com/Machine-Learning-Tokyo/MLT_starterkit

Upcoming events (1)

MLT __init__ Session #3: SENet

Online event

📌 Session #3 –Squeeze-and-Excitation Networks
📌 Paper Reading & Discussion

About:
MLT __init__ is a monthly event led by Jayson Cunanan and J. Miguel Valverde where a paper is first presented by a volunteer and then discussed among all attendees. Our goal is to give participants good initializations to study Deep Learning effectively. We also hope to promote collaboration between participants. We will try to achieve this by:

* Discussing fundamental papers whose key ideas apply to state-of-the-art models.

* Providing the audience with summaries, codes, and visualizations to help understand the critical parts of a research paper.

📌 Presenter: Alisher Abdulkhaev, MLT Board Director & Community Lead

📌 Prerequisites
We allocate most of the time for discussion and kindly ask participants to read the paper in advance and join the session with at least two questions or comments in mind. These can be parts of the research paper that you think is interesting or unclear. For instance: What did you like the most about this paper? What did you learn? What did you not understand?

––– Session structure –––
● 5:00-5:05 pm Introduction
● 5:05-5:30 pm Presentation
● 5:30-6:30 pm Discussion

📌 Join Zoom Meeting
https://us02web.zoom.us/j/86362568062?pwd=SS9hc251QzRwQkREaElZQVpza2dHQT09

📌 SPEAKER BIO
Alisher Abdulkhaev is a Computer Vision Engineer working for Browzzin — an AI-powered fashion social app. He is also pursuing his Ph.D. degree at the University of Tsukuba. His research interest is to implement data and computationally efficient deep learning algorithms. He is a board director and community lead at MLT. Related links: https://alisher-ai.github.io | https://twitter.com/alisher_ai

📌ORGANIZERS' BIO
* J. Miguel Valverde is a Ph.D. student at the University of Eastern Finland working on Rodent MRI Segmentation with Deep Learning. He has multiple research experiences across Europe and Japan. In his free time, he enjoys nature, learning languages, programming, and making food. https://twitter.com/jmlipman

* Jayson Cunanan is an AI Researcher/Engineer at AI inside. He obtained a Ph.D. in Mathematics at Nagoya University and was awarded the JSPS Postdoctoral Fellowship 2018. In his free time, he loves playing the guitar. https://www.linkedin.com/in/jayson-cunanan-phd/
https://twitter.com/jsonmathsAi

● Find more information, the videos, and materials from previous sessions in https://github.com/Machine-Learning-Tokyo/__init__

● MLT PATRON
Become a MLT Patron and help us to keep MLT meetups like this inclusive and for free. https://www.patreon.com/MLTOKYO

● SUBSCRIBE
Subscribe to our monthly newsletter: https://mltokyo.ai/membership-join

● FIND MLT RESOURCES
Github: https://github.com/Machine-Learning-Tokyo
Youtube: https://www.youtube.com/MLTOKYO
Slack: https://bit.ly/2Yb0uXI

● RECRUITING
MLT events are for community building and knowledge sharing. We politely ask that company representatives, recruiters and consultants looking to hire or sell their services do not participate in MLT activities or approach members in any form.

● CODE OF CONDUCT
MLT promotes an inclusive environment that values integrity, openness, and respect. https://github.com/Machine-Learning-Tokyo/MLT_starterkit

Past events (273)

Photos (192)

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