# Result Page

The Result page displays the search results.

Differences between auto and manual mode Manual mode is a grid-search mode in the Cognex Deep Learning Parameter Search utility, which runs tests on every selected parameter and their value ranges.:

- In manual mode, the Cognex Deep Learning Parameter Search utility returns every search result from every possible combination of parameters you set on Search page.

- In auto mode The auto mode is a grid-search mode in the Cognex Deep Learning Parameter Search utility, which automatically optimizes the search schedule by adopting a policy that obtain the best results with minimizing the search time. Given a list of parameters and their values, auto mode stops training the loaded tool and moves on to training with another parameter values when it finds no reason for better results from the current parameter values. Only Standard type tools support auto mode., the utility returns only the best search results based on 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 the tool. The number of returned results depends on the Number of Models setting.

- You can review the search results live in manual mode.

- You can review the search results in auto mode only if you pause the search or after the search is done.

Number | UI Element | Description
1 | Search Results table | The table shows the result metrics for each tested set of parameters. The result metrics are different for each tool type.
2 | Database Overview | When you click a row in the results table, the Database Overview corresponding to the search results appears in the lower part of the window. The Database Overview is the same as the one in Cognex Deep Learning Studio. For Red Analyze tools, you can apply the Count drop-down options to the Database Overview. Click the icon to pin the Database Overview for a row. You can pin maximum two Database Overviews. Click the icon to unpin the Database Overview.
3 | Apply to Workspace button | When you select a row in the results table, click Apply To Workspace to apply the selected parameter set and the trained tool in the loaded workspace. After clicking this button, you can access the tool and the 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. results in VisionPro Deep Learning: Open Cognex Deep Learning Studio. Open the workspace. Process the tool to get the same results as in the Cognex Deep Learning Parameter Search utility. Note: If you loaded a Parameter Search Data XML file before starting the search, you cannot use the Apply To Workspace option. The XML file does not contain the trained tools. The tools are saved as separate files. You must load a tool into your workspace in Cognex Deep Learning Studio.
4 | Save and Load buttons | Click Save to export the search configuration and search results. Click Load to import a Parameter Search Data XML file. For more information, see Saving Search Results.