Michael Shtelma
Databricks
Image recognition models usually require a huge number of images for training. And if we could speed up this process?
Michael Shtelma is a Databricks Solutions Architect and ex-Teradata Data Engineer passionate about all data-related topics, especially data engineering and data science in cloud. He loves to code in Scala and Python. Currently, Michael is working at Databricks in Frankfurt, Germany.
DEEPTECH
Past Presentations
Accelerate image recognition using distributed model training and automated model architecture search
10:25 - 11:05, 23rd of September (Wednesday) 2020/ DEEPTECH STAGE