22.10.2020 Distributed Deep Learning training: Model and Data Parallelism in Tensorflow By Sergios Karagiannakos in News, robotics, Robotics Classification, robots, robots in business, Robots Podcast Tag news How to train your data in multiple GPUs or machines using distributed methods such as mirrored strategy, parameter-server and central storage.