首页> 外国专利> GENERATING AND TRAINING MACHINE LEARNING SYSTEMS USING STORED TRAINING DATASETS

GENERATING AND TRAINING MACHINE LEARNING SYSTEMS USING STORED TRAINING DATASETS

机译:使用存储的训练数据集的发电和训练机器学习系统

摘要

Systems and methods for generating and training machine learning systems using stored training datasets are disclosed. In an embodiment, a machine learning server computer stores a plurality of machine learning training datasets, each machine learning training dataset of the plurality of machine learning training datasets comprising input data and output data. The machine learning server computer displays, through a graphical user interface, a plurality of selectable options, each selectable option of the plurality of selectable options identifying a machine learning training dataset of the plurality of machine learning training datasets. The machine learning server computer receives a particular input dataset and a selection of a particular selectable option identifying a particular machine learning training dataset. The machine learning server computer trains a particular machine learning system using the particular machine learning training dataset. The machine learning server computer uses the particular input dataset as input into the particular machine learning system to compute a particular output dataset.
机译:公开了用于使用存储的训练数据集生成和训练机器学习系统的系统和方法。在一个实施例中,机器学习服务器计算机存储多个机器学习训练数据集,所述多个机器学习训练数据集中的每个机器学习训练数据集包括输入数据和输出数据。机器学习服务器计算机通过图形用户界面显示多个可选选项,多个可选选项中的每个可选选项标识多个机器学习训练数据集中的机器学习训练数据集。机器学习服务器计算机接收特定的输入数据集和标识特定机器学习训练数据集的特定可选选项的选择。机器学习服务器计算机使用特定的机器学习训练数据集来训练特定的机器学习系统。机器学习服务器计算机使用特定的输入数据集作为特定机器学习系统的输入,以计算特定的输出数据集。

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