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Introduction

Here, you will find information on how to train and deploy state-of-the-art deep neural networks on a large set of diverse problem types in the areas of computer vision and natural language. This documentation assists you from starting a new experiment to managing and understanding the array of settings and features available in H2O Hydrogen Torch.

  • Overview: Overview of H2O Hydrogen Torch and common use cases
  • Access H2O Hydrogen Torch: Learn how to access H2O Hydrogen Torch
  • Tutorials: Learn how to use H2O Hydrogen Torch
  • Concepts: Learn essential terms and concepts

  • Guide: Learn all available settings and features

    • For a general descriptive overview of an H2O Hydrogen Torch experiment, see Experiment flow.

  • Key terms: Learn key terms around H2O Hydrogen Torch

  • Release notes: Explore release notes
  • Third-party licenses: Learn about used third-party licenses
  • FAQ: Discover frequently asked questions


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