How to Use ModelArts
ModelArts is a one-stop development platform for AI developers. It provides lifecycle management of AI development, helping you quickly build models and deploy the models on devices, edge devices, and the cloud.
ModelArts supports automated machine learning, namely, ExeML, and provides multiple pre-trained models. In addition, it integrates JupyterLab Notebook to provide online code development environments.
This document provides tutorials to help you quickly understand ModelArts functions. You can select tutorials based on your AI experience.
Selecting a Use Mode Based on Your Experience
- If you are a service developer and have no AI development experience, you can use ExeML of ModelArts to build AI models. For details, see Using ModelArts Standard ExeML to Build Object Detection Model.
- If you are an AI engineer and are familiar with code compilation and debugging, you can use the online code development environment provided by ModelArts to compile training code for AI model development. For details, see Modeling with Notebook Instances.
- If you have your own algorithms and want to migrate them to ModelArts for training and inference, see Using a Custom Algorithm to Build a Handwritten Digit Recognition Model.
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