Review the browser and account requirements for and configure Deep Learning Studio.
Browser requirements
Use Deep Learning Studio in desktop web browsers. The app is not supported on mobile devices or tablets. The app is supported on the browsers listed below. For the best performance, use the latest version of the applicable browser.
- Google Chrome
- Microsoft Edge
- Mozilla Firefox
- Safari
ArcGIS Enterprise on Kubernetes account requirements
To use Deep Learning Studio, your ArcGIS Enterprise on Kubernetes account must meet the following requirements:
- For the analyst role in Deep Learning Studio and to access its full capabilities, you must be assigned the ArcGIS Enterprise on Kubernetes Publisher or Administrator role, or a custom role with the following privileges:
- Create, update, and delete (content).
- Publish server-based layers.
- Use raster analysis tools.
- For the sample collector role in Deep Learning Studio, you must be assigned the ArcGIS Enterprise on Kubernetes Editor user type, or a custom role with the following privileges:
- Create, update, and delete (content).
Supported languages
Deep Learning Studio supports all languages that ArcGIS Enterprise on Kubernetes supports. The language used by the app is determined by the language settings in your account profile.
Configure Deep Learning Studio
Deep Learning Studio provides deep learning capabilities using distributed processing and storage in ArcGIS Enterprise on Kubernetes. Follow the steps below to configure Deep Learning Studio in an ArcGIS Enterprise on Kubernetes deployment.
- Deep Learning Studio supports image services published from 10.7 and later. Image services published from earlier versions are not supported.
- Verify that Deep Learning Studio is properly configured by confirming the app appears in the App Launcher.
- Configure and deploy ArcGIS Enterprise on Kubernetes for raster analytics.
- Sign in to ArcGIS Enterprise on Kubernetes to open the home page of your ArcGIS organization.
- Click the App Launcher button
and click the Deep Learning Studio button to start the Deep Learning Studio app.
To access all the capabilities of Deep Learning Studio, you must have the appropriate privileges for content creation and service publishing.