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SYSTEMS AND METHODS FOR NEURONAL NETWORKS FOR ASSOCIATIVE GESTALT LEARNING

机译:联想式学习的神经网络系统和方法

摘要

Systems and methods for neuronal networks for associative learning are described. For example, a method may include obtaining target content, obtaining conditioned feature extraction models, generating multiple extracted features by applying the conditioned feature extraction models to the target content, obtaining a conditioned integration model, generating a representation of the target content by applying the conditioned integration model to the multiple extracted features, and displaying the representation.
机译:描述了用于联想学习的神经元网络的系统和方法。例如,一种方法可以包括获得目标内容,获得条件特征提取模型,通过将条件特征提取模型应用于目标内容来生成多个提取特征,获得条件整合模型,通过应用条件来生成目标内容的表示。集成模型以提取多个特征,并显示表示形式。

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