XML-based neural network model generation method and device, and storage medium
The invention provides an XML-based neural network model generation method and device and a storage medium, and the method comprises the steps: obtaining a to-be-analyzed XML instance text, and defining a deep learning framework attribute and a deep learning framework attribute value in the XML inst...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention provides an XML-based neural network model generation method and device and a storage medium, and the method comprises the steps: obtaining a to-be-analyzed XML instance text, and defining a deep learning framework attribute and a deep learning framework attribute value in the XML instance text; and analyzing the XML instance text to generate a target neural network model corresponding to the deep learning framework attribute value. According to the method, the device and the storage medium provided by the invention, for different deep learning frames, only the attribute values of the deep learning frames need to be modified, the XML instance text can be compatible with various deep learning frames, a user does not need to design, implement and debug own specific model for each deep learning frame, and the user experience is improved. Therefore, the generation workload of the neural network model is greatly reduced.
本发明提供一种基于XML的神经网络模型生成方法、设备和存储介质,其中方法包括:获取待解析的XML实例文本,所述XML实例文本中定义有深度学习框架属性及其深度学习 |
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