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
Deep Learning
INTRO TO GENERATIVE ADVERSARIAL NETWORKS
20 Machine Learning engineers joined us for the second Machine Learning Tokyo Workshop on GANs in Shibuya. We looked at theoretical aspects of Generative Adversarial Networks, went over an illustrative code example in PyTorch on how to create fake data from real data, in this case a Gaussian distribution, and finally we implemented a GAN … Continue reading INTRO TO GENERATIVE ADVERSARIAL NETWORKS
MACHINE LEARNING TOKYO: GANs
Yes we GAN! The first Machine Learning Tokyo Workshop on GANs was a great success. We held the 1-day-workshop at Tokyo Chapter in Roppongi and 20 machine learning engineers came to hear our three instructors: Mustafa Yagmur works as a machine learning engineer for a Weathernews Inc. in Tokyo. Gregorio Nuevo Castro is currently writing his … Continue reading MACHINE LEARNING TOKYO: GANs
ML TOKYO: WOMEN IN TECH
Even though the demand for talent is constantly growing, women still remain underrepresented in the world of technology. By empowering women to choose career paths in high-tech fields, such as Artificial Intelligence, Data Science or Blockchain, we can help democratizing, expanding and diversifying cutting-edge tech that is changing the world We're thrilled to welcome … Continue reading ML TOKYO: WOMEN IN TECH
WORKSHOP: GANs
Machine Learning Tokyo is organizing a hands-on workshop on GANs (Generative Adversarial Networks) for the Deep Learning community in Tokyo. It will be a dynamic and interactive working session, with 3 essential parts: - Part 1: Introduction to GANs - Part 2: Technical Implementation - Part 3: Tips & Tricks: Hyperparameter Tuning - - … Continue reading WORKSHOP: GANs
HACKATHON: FACE RECOGNITION
The Machine Learning Tokyo Hackathon: Face Recognition was held on April 21 at Tokyo Chapter, Roppongi. It was limited to 15 seats and Machine Learning and Deep Learning engineers joined to build face detection, face recognition and other related systems. We started with exploring OpenCV and Haarcascades, which is usually the first approach within the … Continue reading HACKATHON: FACE RECOGNITION
EVENT: DEEP LEARNING FOR NLP
Machine Learning Tokyo is co-hosting an event on April 3 for those, who are interested in Deep Learning and Natural Language Processing. We are excited to welcome two experts in the field, coming all the way from Tel Aviv, Israel and Melbourne, Australia. Deep Learning for NLP First, Sam Davis (CEO amplified.ai) kicks off the … Continue reading EVENT: DEEP LEARNING FOR NLP
