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AssigneeNXP B.V.
InventorsBrian Ermans, Gerardus Antonius Franciscus Derks, Wilhelmus Petrus Adrianus Johannus Michiels, Christine van Vredendaal
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A method is provided for analyzing a similarly between classes of a plurality of classes in a trained machine learning model (ML). The method includes collecting weights of connections from each node of a first predetermined layer of a neural network (NN) to each node of a second predetermined layer of the NN to which the nodes of the first predetermined layer are connected. The collected weights are used to calculate distances from each node of the first predetermined layer to nodes of the second predetermined layer to which the first predetermined layer nodes are connected. The distances are compared to determine which classes the NN determines are similar. Two or more of the similar classes may then be analyzed using any of a variety of techniques to determine why the two or more classes of the NN were determined to be similar.
In a trained machine learning model (ML) having a neural network (NN) for classifying an input sample into a class of a plurality of classes, a method for analyzing a similarly between classes of the plurality of classes, the method comprising:
In a trained machine learning model (ML) having a neural network (NN) for classifying an input sample in one class of a plurality of classes, a method for analyzing a similarly between classes of the plurality of classes, the method comprising:
Dependencies are inferred from the claim text.