Deep Learning with H2O Hydrogen Torch by Yauhen Babakhin

Abstract: In this talk, we will start by discussing H2O Hydrogen Torch which is a no-code Deep Learning platform that has been recently launched. Then we will talk about Image Object Detection problem type in general and a particular car detection use-case. Using H2O Hydrogen Torch we will build a baseline car detection model, improve it with different techniques and deploy the best model obtained. About Yauhen: Yauhen holds a Master’s Degree in Applied Data Analysis from the Belarusian State University. He has over 7 years of experience in Data Science having worked in the Banking, Gaming and eCommerce industries. Yauhen is a Kaggle competitions Grandmaster with a total of 10 gold medals in classic ML, NLP and CV competitions. H2O Hydrogen Torch: