We often say that the AI general capacity is often not for specific industry applications, but mainly to solve everyday problems or generalization, the program gives a lot of technology companies are common type, such as universal character recognition, regardless of the identification ID cards, driver's license , driving license, etc., will be the model for any picture as training to recognize text.
Normal AI model development process involves tagging data, model training, model deployed several processes, but different applications, different enterprise business scenario, there will be differences in the development needs, including business direction, budget, stage of development, technology infrastructure and other differences It will lead to different business needs and the technical details of deployment. In specific industry sectors, we will increase the technology selection, model matching and other sectors. This time, efficiently meet the individual needs of enterprise model development becomes particularly important.
So what better way to do business model development to meet the individual needs?
Jingdong cloud and AI Artificial Intelligence Division of the platform R & D leader Zhu Ertao teacher, will bring you a live online course , "the ability to quickly create AI-based model training platform" , How to solve cost-efficient way to build their own AI capabilities The problem.
Especially when business brought about dramatic changes in recent outbreaks , how to implement a one-stop AI development platform, with the ability to quickly customize AI released a low-cost way, so that AI technology floor it? The open class will be for everyone a detailed explanation of how to complete the material supply and demand matching algorithm development platform for emergency dispatch within 3 days, on-line and iterative process, and how to ensure the accuracy of the algorithm.
The ability to quickly create AI-based model training platform
Speaker: Zhu Ertao
(Jingdong cloud and AI Artificial Intelligence Division of the platform R & D leader)
02 Yue 26 Ri (Zhousan) 20: 00-21: 00
Fanger Wei code scan
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Course Outline:
AI describes the whole process of development: including data labeling, model training, model evaluation, service publishing processes
typical AI algorithms scenarios include: text categorization, picture classification, target detection, how do secondary training based on the existing model
using the model to accelerate NeuFoundry development: introduction NF, including support annotation data, automation training, publishing and other services.
During the fight against SARS, how to complete the emergency dispatching platform in three days supplies of supply and demand matching algorithm development, on-line and iterative process, and how to ensure the accuracy of the algorithm.
Welcome Click " Jingdong cloud " for more event details.
