📌 Session #4 – SSD: Single Shot MultiBox Detector 📌 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. 📌 SPEAKER BIO Charles Melby-Thompson is an AI Researcher at AI Inside. He obtained a Ph.D. in Physics from UC Berkeley, MSc Mathematics and Comp. Science from the University of Oxford and A.B. Physics from Princeton University. He has multiple research experiences from several countries including Japan. Related links: https://www.linkedin.com/in/charles-melby-thompson/ 📌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 ========================= MLT (Machine Learning Tokyo) site: https://machinelearningtokyo.com/ github: https://github.com/Machine-Learning-Tokyo slack: https://machinelearningtokyo.slack.com/messages discuss: https://discuss.mltokyo.ai/ [More]