Preparation

You are viewing an old version of the documentation. You can switch to the documentation of the latest version by clicking the top-right corner of the page.

This topic describes the process for training a deep learning model in Mech-DLK and the preparation before training.

Preparation

  1. The software running device should satisfy relevant system requirements. See the System Requirements section to check these requirements.

  2. When Mech-DLK is running, the resolution and scale of the screen should follow the correspondence in the table below. If the resolution and scale of your screen do not match those in the table below, some display problems may occur.

    Resolution

    Scale

    1280 × 800 (16:10)

    100%

    1920 × 1080 (16:9) (recommended)

    100% (recommended) or 125%

    2560 × 1440 (16:9)

    125% or 150%

    3840 × 2160 (16:9)

    150% or 175%

    If you are using dual monitors, make sure that both have the same resolution and scale.

Training Process

The process for training a deep learning model is displayed as follows. The process may vary between different algorithm modules. For detailed procedures, see the introduction of each algorithm module.

flow chart

We Value Your Privacy

We use cookies to provide you with the best possible experience on our website. By continuing to use the site, you acknowledge that you agree to the use of cookies. If you decline, a single cookie will be used to ensure you're not tracked or remembered when you visit this website.