检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
Figure 3 Clicking SHUT DOWN to stop an instance Parent topic: Using a Notebook Instance for AI Development Through JupyterLab
In the navigation pane on the left, choose AI Dedicated Resource Pools > Elastic Clusters. On the displayed page, configure the container engine size as needed. For details, see Resizing a Dedicated Resource Pool. If the fault persists, contact technical support.
Parent topic: Using Notebook for AI Development and Debugging
Creating a Training Job Create a ModelArts training job based on the SFS Turbo shared file storage. Log in to the ModelArts console. In the navigation pane, choose Training Management > Training Jobs. Click Create Training Job in the upper right corner. On the displayed page, set
The AI technology can help doctors analyzing CT quantification results of the infected cases with high accuracy.
Parent topic: Using Notebook for AI Development and Debugging
Using Notebook Instances Remotely Through PyCharm Connecting to a Notebook Instance Through PyCharm Toolkit Manually Connecting to a Notebook Instance Through PyCharm Uploading Data to a Notebook Instance Through PyCharm Parent topic: Using Notebook for AI Development and Debugging
Uploading Files to JupyterLab Uploading Files from a Local Path to JupyterLab Cloning GitHub Open-Source Repository Files to JupyterLab Uploading OBS Files to JupyterLab Uploading Remote Files to JupyterLab Parent topic: Using a Notebook Instance for AI Development Through JupyterLab
Connecting to a Notebook Instance Through PyCharm Toolkit AI developers use PyCharm to develop algorithms or models. ModelArts provides the PyCharm Toolkit plug-in to help AI developers quickly submit locally developed code to the ModelArts training environment.
Question answering (Q/A) is a branch of AI within the fields of information retrieval and natural language processing (NLP), which addresses the task of building systems that automatically answer questions posed by humans in a natural language.
Collecting Text Analysis Indicator Statistics The text analysis indicator statistics function is used to query call record statistics after AI inspection is complete.
Parent topic: Using a Notebook Instance for AI Development Through JupyterLab
The platform uses the powerful AI capabilities of the HUAWEI CLOUD AI Ascend cluster service and the ModelArts one-stop AI development and management platform, and integrates various algorithms, tools, AI models, and automatic pipelines in the medical domain.
Searching for a Notebook Instance Searching for an Instance All created instances are displayed on the notebook page. To display a specific instance, search for it based on filter criteria. Grant the permission to the IAM user for viewing all notebook instances. Log in to the ModelArts
Viewing the Running Records of a Workflow All runtime statuses of a workflow are recorded. On the workflow list page, click the name of the target workflow. On the workflow details page, view all runtime records of the workflow in the left pane. Figure 1 Viewing execution records
Creating a Workflow To create a workflow, define each phase by referring to Creating Workflow Phases. Follow these steps: Sort out scenarios, understand preset steps' functions, and determine the DAG structure. Debug single-phase functions like training or inference on ModelArts.
Notebook Instances Remotely Through VS Code Connecting to a Notebook Instance Through VS Code Connecting to a Notebook Instance Through VS Code Toolkit Manually Connecting to a Notebook Instance Through VS Code Uploading and Downloading Files in VS Code Parent topic: Using Notebook for AI
Can Such Cameras Use AI Capabilities? A: Yes, the data of non-Huawei cameras can be migrated to the cloud through the GB28181 protocol. VIAS provides the AI capabilities and IVM provides the capability of migrating camera data to the cloud.
Importantly, MoXing Framework is decoupled from specific AI engines and can be seamlessly integrated with all major AI engines (including TensorFlow, MXNet, PyTorch, and MindSpore) supported by ModelArts.
HCCDP-AI Learning paths It provides AI developers with training and certification on AI algorithm theories and AI application development and O&M capabilities based on Huawei Cloud EI services.
