Train a Deep Learning Model

In this phase, you need to train a deep learning model.

The following figure shows the general process for training a deep learning model.

No.	Step	Description
1	Create a new project	Create a new project in Mech-DLK for model training.
2	Select algorithms	Add algorithm modules to the project. You can add a single module or cascaded modules.
3	Import images	Import the acquired images.
4	Label images	Use labeling tools to label the images and hence provide data for deep learning training.
5	Train the model	Configure the training parameters and start the model training.
6	Validate the model	Validate the model performance after the model training is complete.
7	Export the model	After the model is validated, export the deep learning model for deployment.

No.

Step

Description

Create a new project

Create a new project in Mech-DLK for model training.

Select algorithms

Add algorithm modules to the project. You can add a single module or cascaded modules.

Import images

Import the acquired images.

Label images

Use labeling tools to label the images and hence provide data for deep learning training.

Train the model

Configure the training parameters and start the model training.

Validate the model

Validate the model performance after the model training is complete.

Export the model

After the model is validated, export the deep learning model for deployment.

For more information about model training examples, see AI-Based Quality Inspection Tutorial.

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