More Use Cases and More Value with Automated Computer Vision Modeling

Presented by

Dan Darnell, VP of Product Marketing at H2O.ai and Yauhen Babakhin, Kaggle Competitions Grandmaster, Data Scientist at H2O.ai

About this talk

H2O Driverless AI brings the best practices of the world’s leading data scientists to your team to build high-quality production-ready models in hours, not weeks or months. Now, Driverless AI helps you solve more use cases with more data types using automatic machine learning (AutoML) for classification and regression with images. Users can now include images with other data types in a broader dataset or build models with images alone. Advanced or novice data scientists can build image-based models using state-of-the-art techniques, including TensorFlow CNNs, all with the power of full Driverless AI automation. In this webinar, you will learn about: - Visual AI features in Driverless AI 1.9 - Image modeling use cases with images with other data types and with images stand alone - The Visual AI roadmap for Driverless AI - How to deploy image models as low latency MOJOs Presenters: Dan Darnell, VP of Product Marketing at H2O.ai Yauhen Babakhin, Kaggle Competitions Grandmaster and Data Scientist at H2O.ai
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H2O.ai is the maker of H2O, the world's best machine learning platform and Driverless AI, which automates machine learning. H2O is used by over 200,000 data scientists and more than 18,000 organizations globally. H2O Driverless AI does auto feature engineering and can achieve 40x speed-ups on GPUs.