# Create and Navigate a Workspace

1. Open the VisionPro Deep Learning GUI, and in the Workspace menu, select New.

2. In the New Workspace dialog, provide a name for your workspace.

3. The new workspace you created will be the active workspace.

Note:

To navigate to a previously created workspace, expand the Workspace container by pressing the icon, and then select the desired workspace from the list and press the arrow icon:

The VisionPro, Designer and VisionPro Deep Learning software require that a valid Security Key be installed directly to PCs running the software during all phases of operation (programming, processing, 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., testing, etc.). Any attempts to temporarily remove, substitute, or share a Security Key may cause your system to operate incorrectly, and may result in the loss The Loss refers to validation loss, which is a metric that shows how a tool performs on the validation set. Loss can have a value between 0 and 1. The VisionPro Deep Learning application calculates the Loss based on the errors the tool makes when processing the images in the validation set. During training, you can check the Loss in real-time using the Loss Inspector. of data.