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MACHINE LEARNING METHOD AND MACHINE LEARNING SYSTEM INVOLVING DATA AUGMENTATION

机译:机器学习方法和机器学习系统涉及数据增强

摘要

The present invention relates to machine learning techniques with data augmentation capabilities. The machine learning method comprises the steps of (a) obtaining initial values of a hyperparameter and a hypernetwork parameter; (b) generating a first classification model parameter according to the hyperparameter and the hypernetwork parameter, and updating the hypernetwork parameter according to the classification result based on the first classification model parameter for the training sample; (c) generating a second classification model parameter according to the hyperparameter and the updated hypernetwork parameter, and updating the hyperparameter according to another classification result based on the second classification model parameter for the verification sample; and (d) repeating steps (b) and (c) to update the hypernetwork parameters and hyperparameters.
机译:本发明涉及具有数据增强能力的机器学习技术。 机器学习方法包括(a)获取超参数的初始值和Hypernetwork参数的步骤; (b)根据HyperParameter和Hypernetwork参数生成第一分类模型参数,并根据培训样本的第一个分类模型参数更新HyperNetwork参数; (c)根据HyperParameter和更新的HyperNetwork参数生成第二分类模型参数,并根据验证样本的第二分类模型参数根据另一分类结果更新超级参数; (d)重复步骤(b)和(c)以更新HyperNetwork参数和HyperParameters。

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