H2O Hydrogen Torch

What this post added

This post introduces H2O Hydrogen Torch, a new capability that democratizes deep learning by offering a no-code interface for training state-of-the-art models across text, image, 3D image, video, and audio data. It highlights features like automated hyperparameter tuning, a library of problem types, and seamless integration with H2O MLOps and H2O Wave for deployment and application development. It also details supported deep learning problem types such as classification, regression, object detection, segmentation, and sequence-to-sequence tasks.