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METHOD TO BROKER DEEP LEARNING MODEL TRANSACTIONS PERFOMED BY DEEP LEARNING MODEL TRANSACTION BROKERAGE SERVERS

机译:经纪人深入学习模型交易的方法,深入学习模型交易经纪服务器

摘要

The deep learning model transaction brokerage method according to an embodiment of the present invention includes the steps of collecting the purchase information of the purchaser regarding the deep learning model required by the purchaser from the purchaser terminal, and selling the deep learning model corresponding to the purchase information of the purchaser retrieving the sales information of at least one seller terminal, transmitting the sales information of the deep learning model corresponding to the buyer's request information to the buyer terminal, and receiving the model selection signal of the buyer from the buyer terminal, and the model of the buyer Transmitting a model selection signal to the seller terminal corresponding to the selection signal, the deep learning model is a deep learning solution platform, tabular data to be analyzed or predicted from the seller terminal, learning of the deep learning model Collects input information including the method and the learning form of the deep learning model, and collects preprocessing information including whether the table data is preprocessed by column from the seller terminal, whether it is used for learning the deep learning model, and the preprocessing method, Learning result information including learning state, accuracy, error rate, and similarity of a plurality of deep learning models for each of the plurality of deep learning models according to the learned result and learning based on the collected input information and preprocessing information for a plurality of pre-prepared deep learning models may be characterized in that it is generated according to a process provided to the seller terminal.
机译:根据本发明的实施例的深度学习模型事务经纪方法包括收集购买者关于购买者终端所需的深度学习模型的购买信息,以及销售对应于购买的深度学习模型的步骤购买者的信息检索至少一个卖家终端的销售信息,将与买方的请求信息相对应的深度学习模型的销售信息发送到买方终端,并从买方终端接收买方的模型选择信号,将模型选择信号传输到卖方终端的买方模型对应于选择信号,深度学习模型是深度学习解决方案平台,要从卖方终端分析或预测的表格数据,深入学习模型的学习收集输入信息包括方法和学习深度学习模型的形式,并收集预处理信息,包括从卖方终端中列的列,无论是用于学习深度学习模型,以及预处理方法,学习结果信息,包括学习状态,准确性,准确性根据所学到的结果和基于所收集的输入信息的学习和学习的多个深度学习模型中的每一个的多个深度学习模型的错误率和可能表征了多个深度学习模型的多个深度学习模型的相似性。可以表征多个预先准备的深度学习模型的预处理信息其中它根据提供给卖方终端的过程生成。

著录项

  • 公开/公告号KR102311108B1

    专利类型

  • 公开/公告日2021-10-12

    原文格式PDF

  • 申请/专利权人 주식회사 디에스랩글로벌;

    申请/专利号KR20200141682

  • 发明设计人 여승기;

    申请日2020-10-29

  • 分类号G06Q30/06;G06N20;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-24 21:37:34

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