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 onĀ 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