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This lesson introduces the AI industry structure, AI application development process, and Huawei's full-stack all-scenario AI solutions.
This course will mainly introduce AI Overview, Technical Fields, and Application Fields of AI, Huawei's AI Development Strategy, AI Disputes, Future Prospects of AI.
This course describes Huawei's Ascend AI chips, and hardware and software architectures of Ascend chips, and full-stack all-scenario solutions of Ascend AI chips.
This course will introduce the Huawei's AI strategy and relevant applications on Huawei cloud, to see what AI can do in the future.
Hands-on modules offer opportunities to create custom AI solutions, fine-tune models, and manage AI projects effectively using Huawei Cloud.
This course introduces the structure, design concept, and features of MindSpore based on the issues and difficulties faced by the AI computing framework, and describes the development and application process in MindSpore.
The course delves into the practical use of ModelArts for building, training, and deploying AI models. Participants will explore a variety of services and tools within the platform, including data preprocessing, model optimization, and deployment workflows.
This assists developers in delivering a better smart app experience for users by fully leveraging Huawei's powerful AI processing capabilities.
This chapter describes the functions and application scenarios of Huawei Cloud EI General AI Service, including Image Recognition, Image Search, Content Moderation, Optical Character Recognition (OCR), and Speech Interaction Service (SIS).
This chapter describes the overall solution, core modules, and success stories of ModelArts.
This lesson covers the key features, architecture, and applications of HiLens, Huawei's AI development platform featuring a device-cloud synergy, and ModelBox, an AI application runtime framework.
In addition, we will introduce AI development practices based on Huawei Cloud EI and ModelArts.
This course will focus on the application of AI technologies. Computer vision is one of the hottest areas of artificial intelligence technology application at present.
This course will focus on another application area of AI: speech processing. This is also a very promising area. In the future, this technology could be combined with a variety of products.
As the foundation, HUAWEI CLOUD provides a powerful computing platform and easier-to-use development platform for Huawei's full-stack, all-scenario AI strategy.
This course introduces you to the Internet of Things (IoT) and artificial intelligence (AI) technologies and their applications.
This course series are intended for technical personnel of partners and describe how to build general-purpose solutions on HUAWEI CLOUD, including SAP, blockchain, data enablement + AI, DR, and Kunpeng solutions.
Therefore, before learning AI technologies, we need to master the basic knowledge of neural networks.
In the course we discuss the impact of cloud-native technologies on the IT industry and the application and challenges of cloud-native technologies in new directions such as edge computing, IoT, Big Data, and AI in the future.
