These self-service demo videos provide a summary of the key features and functions of H2O.ai’s AI Cloud platform. H2O.ai is an end-to-end AI platform to manage your entire AI lifecycle journey.
Demo videos cover a wide range of H2O.ai’s capabilities including:
- How to easily manage AI engines like Driverless AI and H2O-3 on Kubernetes
- How to use the AI engine called Hydrogen Torch to automatically train deep learning models for image, video, text, and audio use cases
- How to build deep learning neural networks using existing state of the art architectures and use transfer learning to calibrate them to your data and use case without writing any code
- How to use our AI engine called Document AI to combine OCR, NLP, and Computer Vision models for Intelligent Character Recognition (OCR) and other document use cases
- How to visualize the complete machine learning pipeline from automatic feature engineering, to individual model structures, to ensembles of predictions from many models
- How to retrieve automatically generated documentation for all assumptions, insights, and results from an experiment