The Deep Learning Guide Map helps you through the Deep Learning process. It highlights the tools you may want to use at each step, and provides quick access to examples, system compatibility testing, and metrics through TensorBoard.

To begin, select Deep Learning > Deep Learning Guide Map in the ENVI Toolbox.

In the first panel of the Guide Map, click the button for the type of model you want to create. The options are as follows, click on the links to go to the associated topics for details:

• Pixel Segmentation Model: Pixel Segmentation Overview, Train Deep Learning Pixel Models
• Object Detection Model: Object Detection Overview, Train Deep Learning Object Models
• Grid Model: Grid Overview, Train Deep Learning Grid Models

Use the Back and Forward buttons to navigate to different steps in the process. The Guide Map keeps track of all of the input and output files that you create throughout the process so that you do not have to manually specify them in each step.

The menu bar of the Guide Map provides additional capabilities, which are described below.

Tools Menu:

• Edit Deep Learning Keras or ONNX Model Metadata
• Train Deep Learning Models Using the ENVI Modeler
• Randomize Training Parameters Using the ENVI Modeler
• Test Installation and Configuration

Tasks Menu:

• Pixel Segmentation
• Object Detection
• Grid

Training Metrics Menu:

Show Training Metrics