# Create a Runtime Workspace

If you acquired images, you can train a VisionPro Deep Learning tool, and export this fully trained tool with its workspace as a runtime workspace. The runtime workspace is then used for your machine vision application. This is done in the following three, separate steps:

1. Retrieve the images from hard drive and drops them into the VisionPro Deep Learning GUI. You can transmit the images to the VisionPro Deep Learning GUI, either through the API, using the add to database method, or by manually dragging and dropping them into the VisionPro Deep Learning GUI.
2. Train the tools.

3. Export the trained tool and its workspace as a new runtime workspace and load it inside the library. This can be done manually or using get workspace from server method in the Deep Learning Library (DLL).

Note: For more details of the runtime workspace, see .
Note: Deep Learning DLL supports integrated training through API only under a certain license (VisionPro Deep Learning Licenses), but you can use the VisionPro Deep Learning GUI to train a new recipe.