Free annotation tools for Deep Learning, Computer Vision and Natural Language Processing tasks.
machine learning
CNN ARCHITECTURES (1-5)
What's the most important implementation information in a Deep Learning paper and how do we code it up? MLT Director Dimitris Katsios shows you exactly that with a series on CNN Architectures including notebooks, visualizations and videos. To kick off the series, Dimitris picked some of the earliest Convolutional Neural Network papers. This series will … Continue reading CNN ARCHITECTURES (1-5)
5,000 MLT MEMBERS
Amidst the coronavirus pandemic we want to share some wonderful news. We are extremely happy that Machine Learning Tokyo doubled in size in this past year from 2,400 members in March 2019 to more than 5,000 members in March 2020. Going online and opening up to the global AI community made MLT more diverse, bigger … Continue reading 5,000 MLT MEMBERS
ML TOKYO TALKS: QUANTUM EDITION
Spaces Shinagawa was packed at our ML TOKYO TALKS event – Quantum Computing/Quantum Machine Learning edition in collaboration with the Association of Italian Researchers in Japan (AIRJ). We were fortunate to welcome two experts in the field of Quantum Computing: Mattia Fiorentini (Head of Machine Learning and Quantum Algorithms at Cambridge Quantum Computing) and Nathan … Continue reading ML TOKYO TALKS: QUANTUM EDITION
NLP BUSINESS APPLICATIONS
Natural Language Processing (NLP) has become the backbone of many applications that we use on a daily basis. Together with Le Wagon Tokyo we welcomed Cedric Wagrez (Gengo) for a a talk on NLP Business Applications. Cedric shared insights on how NLP and Machine Learning/Deep Learning are being used across a wide range of business … Continue reading NLP BUSINESS APPLICATIONS
MLT WOMEN IN MACHINE LEARNING
More than 100 people joined us for our 4th MLT Women in Machine Learning, this time it was held at the brand new Google Japan office in the impressive Shibuya Stream building. We heard two fantastic talks – one on production-level ML, the other from a research perspective – and had a great panel discussion … Continue reading MLT WOMEN IN MACHINE LEARNING