User Guide
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.
| Page | Description |
|---|---|
| Projects | Holds together all the artifacts related to the AI that you're building. |
| Workspace | Data storage, sharing and collaboration facility. |
| Data Recipe | Composable sequence of data transformation operations. |
| DL Model Designer | Drag-n-drop interface to design and build deep learning models. |
| Pipeline Builder | Drag-n-drop interface to compose an end-to-end workflow. |
| Run Explorer | Manage, compare and schedule pipeline runs and model trains. |
| Jupyter | Jupyter notebook to test code and run experiments. |
| Platform Settings | Unified interface to manage users, libraries, permissions etc. |
| User Profile | Manage user name, roles and option to logout of the platform. |