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)
Computer Vision
NEW MEMBERS ON THE MLT BOARD OF DIRECTORS
We are honored and excited to welcome Dimitris Katsios and Alisher Abdulkhaev to the MLT Board of Directors. Both have been part of our Computer Vision Team since 2018, they have been tirelessly supporting the community, teaching CNN architectures in numerous workshops in Tokyo and have always been an essential part of the organization. They … Continue reading NEW MEMBERS ON THE MLT BOARD OF DIRECTORS
AI CURRICULUM
We created a small repository linking to open Deep Learning and Reinforcement Learning lectures provided by MIT, Stanford University and UC Berkeley. ⚪ MIT 6.S191: Introduction to Deep Learning | 2020⚪ CS231n: CNNs for Visual Recognition, Stanford | Spring 2019⚪ CS224n: NLP with Deep Learning, Stanford | Winter 2019⚪ CS285: Deep Reinforcement Learning, UC Berkeley | … Continue reading AI CURRICULUM