Our next fast.ai study session is coming up on June 30 at the Tokyo Metropolitan Library. This time we will have a mini-lesson on Generative Adversarial Networks and afterwards some time for self-study.
fast.ai is a deep learning MOOC unique in its top down approach in teaching deep learning i.e building things first and figuring out the specifics later.
Course Page: https://course.fast.ai/
MLT GitHub with resources: https://github.com/Machine-Learning-Tokyo/MLT-x-fastai
-- AGENDA --
14:00-14:30: Welcome note and mini-lesson by ML Engineer Asir Saeed
14:30-16:30: Open working session
16:30-17:00: Presentations, feedback and wrap up
We recommend you watch at least a video or two ahead of the session to get the most out of your time. The focus of these sessions will be to get help with the course materials. And most importantly, building cool stuff with what we learn!
This article gives an overview of the topics covered in the course. https://www.fast.ai/2019/01/24/course-v3/
-- PREREQUISITE --
- 1 year of coding experience
-- JOIN US --
ML engineers, researchers and students can join MLT on:
-- MLT PATRON --
Become a MLT Patron and help us to keep MLT meetups like this inclusive and for free. https://www.patreon.com/MLTOKYO
Find MLT resources
-- 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 come to this event.