# Modify Training Set

After a training Training is the process that your tool, which is a neural network, is learning about the features (pixels) based on the labels you made. For example, a tool will learn the defect/normal pixels in each image based on the defect/normal labels you drew. The goal of the tool Training is learning enough to give the correct inspection results of whether an unseen image is defective or not. The key to training is to ensure that you include all possible variations within your training set, and that your images are accurately labeled. Training times vary by the application, tool setup and the GPU in the PC being used to train the network. set has been created, if you add new images/views to the database, they will not be included in the training set. This means if you add images/views to your database or image sets after you have pressed the OK button in the Select Training Set dialog, they will not be included in the training set. There are a few different ways to modify a previously configured training set. If you want to include a selection of newly added images/views to your training set, you can either re-open the Select Training Set dialog and press the OK button again. This will discard the current training set, and create a new, randomly selected set. Alternatively, you can manually add the images/views, using the methods described below.

Note: Whatever manual adjustments you make to the training set will be overwritten the next time that you open the Select Training Set dialog and press the OK button.

You can explicitly add and/or remove images/views from a training set through one of the following:

- In the image display area, right-click an image/view A view of an image is a region of pixels in an image. Tool processing is limited to the pixels within the view. You can manually specify a view, or you can use the results of an upstream tool to generate a view. and you can selectively either add an image/view to the training set if it was not a part of the training set, or remove it if it had been used in the training set.

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- In the View Browser, if you use a Display Filter, the Actions for N Views menu option Add the selected views to training set or Remove views from training set can be used to add or remove multiple views from training sets.

- From the Database menu, you can open the Select Training Set dialog.