1. You have licensed the AI Toolkit and activated it under Maintenance > Toolkit Manager.
2. You are in Manage Templates.
3. If required, you have pre-processed your image(s) with the Whitening tool, see Whitening Tool.

1. For Show, select Intellesis Denoising Models.
2. In the top right tool bar, click .
3. The user interface for training opens.
3. In the top left corner, click Import Images. To open an image from the archive, click Import from Archive.
4. A file browser or the archive browser opens.
4. Select the image for training from the file system and click Open. When loading the image from the archive, select the image and click OK.
5. For images with multiple channels, a dialog opens to select the channel for denoising.
5. Select the channel you want to use for denoising and click OK.
6. The image is displayed in the list. Note that all imported images are added to your model.
7. If you have imported an image from the archive, it is copied to the location defined under Maintenance > General Options > Intellesis.
6. Select the image from the list.
7. The image is displayed in the left image container.
7. In the parameter section, set the Number of Epochs and adapt the more advanced parameters, if necessary.
8. Click Train and Denoise.
9. Your model is trained based on the settings and the prediction is displayed in the right image container.
9. If you are satisfied with the result, click Finish.
10. All changes are saved, and the training window closes.

1. You have successfully created and trained a model for denoising. You can now use it to denoise your images with the Intellesis Denoising tool, see Using an Intellesis Denoising Model for Image Processing.