What Are the Differences Between ModelArts and DLS?
Deep Learning Service (DLS) is a one-stop deep learning platform . With various optimized neural network models, DLS allows you to easily implement model training and evaluation with the flexibility of on-demand scheduling.
However, DLS supports only the deep learning technologies, while ModelArts integrates both the deep learning and machine learning technologies. In addition, ModelArts is a one-stop AI development platform, which manages the AI development lifecycle from data labeling, algorithm development, to model training and deployment. To be specific, ModelArts contains and supports the functions and features of DLS. The functions related to deep learning can be directly used in ModelArts. If you are a DLS user, you can also migrate the data in DLS to ModelArts.
General Issues FAQs
- What Is ModelArts?
- What Are the Relationships Between ModelArts and Other Services?
- What Are the Differences Between ModelArts and DLS?
- How Do I Obtain an Access Key?
- How Do I Upload Data to OBS?
- What Do I Do If the System Displays a Message Indicating that the AK/SK Pair Is Unavailable?
- How Do I Use ModelArts to Train Models Based on Structured Data?
- What Are Regions and AZs?
- How Do I Check Whether ModelArts and an OBS Bucket Are in the Same Region?
- How Do I View All Files Stored in OBS on ModelArts?
- Where Are Datasets of ModelArts Stored in a Container?
- What Are the Functions of ModelArts Training and Inference?
- Can AI-assisted Identification of ModelArts Identify a Specific Label?
- Why Is the Job Still Queued When Resources Are Sufficient?
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.
more