-
1.
公开(公告)号:US20210357814A1
公开(公告)日:2021-11-18
申请号:US17362674
申请日:2021-06-29
Inventor: Xinxuan WU , Xuefeng YAO , Dianhai YU , Zhihua WU , Yanjun MA , Tian WU , Haifeng WANG
IPC: G06N20/00
Abstract: The present disclosure provides a method and apparatus for distributed training a model, an electronic device, and a computer readable storage medium. The method may include: performing, for each batch of training samples acquired by a distributed first trainer, model training through a distributed second trainer to obtain gradient information; updating a target parameter in a distributed built-in parameter server according to the gradient information; and performing, in response to determining that training for a preset number of training samples is completed, a parameter exchange between the distributed built-in parameter server and a distributed parameter server through the distributed first trainer to perform a parameter update on the initial model until training for the initial model is completed.
-
公开(公告)号:US20220253372A1
公开(公告)日:2022-08-11
申请号:US17627090
申请日:2020-10-28
Inventor: Yongkang XIE , Ruyue MA , Zhou XIN , Hao CAO , Kuan SHI , Yu ZHOU , Yashuai LI , En SHI , Zhiquan WU , Zihao PAN , Shupeng LI , Mingren HU , Tian WU
Abstract: An apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium are provided. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on a file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface.
-
公开(公告)号:US20190087685A1
公开(公告)日:2019-03-21
申请号:US16102837
申请日:2018-08-14
Inventor: Tian WU , Wensong HE , Lei HAN , Xiao ZHOU
Abstract: The present disclosure proposes a method and an apparatus for recommending sample data. The method may include: inputting a plurality of pieces of sample data to be classified into at least one preset classification model, and acquiring a classifying probability of classifying each piece of sample data into each classification model; acquiring a first distance between each piece of sample data and a classifying boundary of each classification model according to the classifying probability of classifying the piece of sample data into the classification model, in which the classifying boundary of the classification model is configured to distinguish positive and negative sample data; computing a target distance for each piece of sample data according to the first distance between each piece of sample data and the classifying boundary of each classification model.
-
公开(公告)号:US20210004696A1
公开(公告)日:2021-01-07
申请号:US16895350
申请日:2020-06-08
Inventor: Haitao LIN , Jianxia LIU , Wenkang ZHANG , Baolong NIU , Hongguang ZHANG , Qingyun SONG , Youping YU , Tian WU
Abstract: The present disclosure provides a system and a method for automatic secure delivery of a model, and belongs to the field of delivery technologies of artificial intelligence models. The system includes: a model warehouse, including at least one machine learning model; a prediction warehouse, including at least one prediction module matching metadata of the machine learning model in the model warehouse; and a processing engine, configured to have a function of assembling the machine learning model in the model warehouse and the prediction module in the prediction warehouse; in which the prediction module is configured to have an authentication function and an anti-debugging function, and the processing engine is configured to assemble the machine learning model in the model warehouse and the prediction module in the prediction warehouse which have a metadata matching relationship, and to generate a prediction service after the assembly is completed.
-
公开(公告)号:US20170228459A1
公开(公告)日:2017-08-10
申请号:US15384141
申请日:2016-12-19
Inventor: Haifeng WANG , Shiqi ZHAO , Haifeng WU , Tian WU , Daisong GUAN
CPC classification number: G06F16/951 , G06F16/9535 , G06N20/00
Abstract: A method and a device for mobile searching based on artificial intelligence are provided in the present disclosure. The method includes: displaying a search box, and receiving a query inputted by a user via the search box; obtaining a search result according to the query, and displaying the search result on a search result page; after receiving a click instruction on the search result, displaying a context page corresponding to the search result; and after receiving a click instruction on a result in the search result or in the context page, displaying a content page corresponding to the result clicked. The method can break through the concept of PC search and provide a search method which is more suitable for a mobile search scene.
-
-
-
-