Razorthink AI Documentation
Razorthink AI lets you visually build data transformation recipes, DL/ML/Hybrid models and end-to-end pipelines that ingest data from your enterprise environment and create intelligence feeding your business systems
Razorthink AI is an enterprise grade platform that allows you to rapidly create, deploy and manage AI centric solutions. Our cloud version allows you to quickly build and experiment with its IDE.
Follow this practical guide to quickly orient yourself with the various aspects of the platform by implementing a simple Feed Forward Network for classifying images in the MNIST dataset.
Refer to this guide to know how to use and leverage the features and capabilities of Razorthink AI — everything from setting up your project to monitoring your model’s training metrics to deploying them on a REST API.
Block, layers and operators form the basic configurable components of Razorthink AI that let you rapidly create AI's by plugging them together. Refer to this documentation for their detailed information and usage techniques.
The following examples demonstrate the diversity of uses cases that can be built with Razorthink AI. The techniques used in these examples also serve as best-practices for working with the platform. They are available as sample projects that you can run right away after you sign up.