MACHINE LEARNING TOKYO

INTRO TO REINFORCEMENT LEARNING

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

HOW TO ORGANIZE DEEP LEARNING WORKSHOPS

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

MACHINE LEARNING TOKYO

INTERACTIVE TOOLS AND DL RESOURCES FOR BEGINNERS

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