# Restoring Parameters

Restore Parameter button is designed for the easy turning back of tool parameter values to the values that you chose in the last 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. task. It remembers all values in Tool Parameters used in the last training session. So, if you changed any of its values and now want to revert this change, you can click it to roll back to the tool parameter values which are used in the last training. Note that it is disabled when the tool has never been trained or there were no changes from the initial set of tool parameter values.

The following steps explain how Restore Parameter works:

1. Restore Parameter button is always disabled when the current tool was not trained.

2. Once the current tool is trained, the checkpoint of parameter rollback is set to the values in Tool Parameters of the last training session. At this point, if you change any value in Tool Parameters, the button is enabled.

3. Click Restore Parameter button and it reverts the changed value to the value of the checkpoint.

4. If you train the current tool again, with some changes in Tool Parameters, then the checkpoint of parameter rollback is updated to the changed parameter values. Again, the button is disabled unless you make another change for the values in Tool Parameters.

5. If you make another change and click Restore Parameter button again, it reverts the changed value into the value of the updated checkpoint.

Note that if you re-process a trained tool after changing the values in Processing Parameters, the checkpoint of parameter rollback is not updated, and thus Restore Parameter remains enabled. The checkpoint is updated only after the training of a tool is completed.

Disabled | Enabled

Note: There are parameters that cannot be restored to the last training session due to the inevitable reasons.

1. Irreversible parameters that changing these parameters will reset the tool

   1. Network Model, Exclusive, Feature Size, Masking Mode, Color, Centered, Scaled, Scaled Mode (Uniform/Non-uniform), Legacy Mode, Oriented, Detail

2. Irreversible parameters that these parameters are not invertible in nature

   1. Low Precision, Simple Regions

3. Other irreversible parameters

   1. Training Set, Heatmap in Standard type Green Classify tool (This parameter does not affect the prediction performance)

   2. Overlay parameter in Masking Mode in Blue Read