首页>
外国专利>
TRANSFER LEARNING AND DOMAIN ADAPTATION USING DISTRIBUTABLE DATA MODELS
TRANSFER LEARNING AND DOMAIN ADAPTATION USING DISTRIBUTABLE DATA MODELS
展开▼
机译:使用可分配数据模型进行传输学习和域自适应
展开▼
页面导航
摘要
著录项
相似文献
摘要
A system for transfer learning and domain adaptation using distributable data models is provided, comprising a network-connected distributable model configured to serve instances of a plurality of distributable models; and a directed computation graph module configured to receive at least an instance of at least one of the distributable models from the network -connected computing system, create a second dataset from machine {earning performed by a transfer engine, train the instance of the distributable model with the second dataset, and generate an update report based at least in part by updates to the instance of the distributable model.
展开▼