# Control Neural Network Training

With the largest single determinant affecting the network training phase is the composition of the training image set, there are a few different methods you can use to control that composition.

The two Training Tool Parameters, Train Selection and Keep, provide two important mechanisms to control the percentage of images from your training image set that are used, as well as whether or not the same images are used for each training.

In addition, there are two other mechanisms you can use to set the training flags of your training image set. The Database menu allows you set the training flag for multiple Views selected in the View List. Individual Views in the Image Display Area can be set through the right-click menu.

The settings are as follows:

Setting | Description
--- | ---
Auto | Allow the tool to randomly determine whether or not to include the View/image during training.
Always | The View/image will always be used during training.
Never | The View/image will be excluded during training.

- Multiple Views

  From the Database menu, select Set Train-Flags to set the training flags of multiple selected Views.

- Individual Views

  Right-click the View in the Image Display Area, and select the option from the Train sub-menu.