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METHOD FOR DATA ENCODING AND ACCURATE PREDICTIONS THROUGH CONVOLUTIONAL NETWORKS FOR ACTUAL ENTERPRISE CHALLENGES

机译:实际企业挑战通过卷积网络进行数据编码和准确预测的方法

摘要

Disclosed is a method of classifying non-visual data. The method may include a stage of receiving each of a plurality of non-visual data and a plurality of classifications. Further, the method may include a stage of transforming the plurality of non-visual data into a plurality of visual images. Additionally, the method may include a stage of generating an image classifier based on the plurality of visual images and the plurality of classifications. Further, the method may include a stage of receiving an un-classified non-visual data. Furthermore, the method may include a stage of transforming the un-classified non-visual data into an un-classified visual image. Additionally, the method may include a stage of assigning a classification to the un-classified non-visual data based on classifying the un-classified visual image using the image classifier.
机译:公开了一种对非可视数据进行分类的方法。该方法可以包括接收多个非可视数据和多个分类中的每一个的阶段。此外,该方法可以包括将多个非视觉数据转换成多个视觉图像的阶段。另外,该方法可以包括基于多个视觉图像和多个分类生成图像分类器的阶段。此外,该方法可以包括接收未分类的非可视数据的阶段。此外,该方法可以包括将未分类的非视觉数据转换成未分类的视觉图像的阶段。另外,该方法可以包括基于使用图像分类器对未分类的视觉图像进行分类而将分类分配给未分类的非视觉数据的阶段。

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