We finally kicked off our MLT Reinforcement Learning sessions with an "Intro to RL" study group at the Tokyo Metropolitan Library. Anugraha Sinha walked us through the following: Theory Introduction to RL Important elements of an RL problem Description of Markov Decision Process (MDP) and and Markov Assumption. Importance of parametrization of State, Action, Reward … Continue reading INTRO TO REINFORCEMENT LEARNING
Machine Learning Tokyo is a nonprofit organization dedicated to democratizing ML. We’re a core team of ML Engineers and Researchers and a community of 3,000 members in Japan. Our mission is to create, grow and sustain an inclusive, collaborative and engineering-focused environment. In the past we have organized more than 50 hands-on Machine Learning and Deep … Continue reading HOW TO ORGANIZE DEEP LEARNING WORKSHOPS
INTERACTIVE TOOLS Distill: Exploring Neural Networks with Activation Atlases Feature inversion to visualize millions of activations from an image classification network leads to an explorable activation atlas of features the network has learned. This can reveal how the network typically represents some concepts. A visual introduction to Machine Learning Available in many different … Continue reading INTERACTIVE TOOLS AND DL RESOURCES FOR BEGINNERS
June 2019 Semantic Sanity "Semantic Sanity is an adaptive ArXiv feed inspired by ArXiv Sanity. It uses AI to quickly learn what papers you care about reading and recommends the latest research to help you stay up to date in Computer Science." ICML 2019: Thirty-sixth International Conference on Machine Learning Google, ETH Zurich, MPI-IS, Cambridge … Continue reading 2019 SO FAR: WHAT HAPPENED IN AI/ML?
An MLT Team of 15 engineers and researchers is dedicated to projects related to embedded Machine Learning and Robotics. One of our projects is MLT x Agritech, where we investigate new ways of improving and automating agricultural processes with cutting-edge technology, from hardware to software. Recently, the team visited the Hackerfarm, a community of farmers … Continue reading MLT TEAM VISITS HACKERFARM
The Earth-Life Science Institute at the Tokyo Institute of Technology held a Machine Learning and Deep Learning Bootcamp in collaboration with Machine Learning Tokyo for scientists in Biology, Chemistry, Astro- and Geophysics, and other fields researching the origins of life. Find the MLT materials on GitHub: Slides ML Research Project Management Intro to Deep … Continue reading ML/DL BOOTCAMP @ELSI
Here's a quick recap of the two projects we built at Junction Tokyo. MLT x 2020 We wanted to build a Deep Learning system that serves the Tokyo Olympics 2020 and help facilitate a safe, fun and incredible experience for all people involved - for participants from Japan and all over the world and … Continue reading MLT @JUNCTION TOKYO