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Object recognition device electronic device including the same and method of recognizing an object

机译:包括该物体识别设备的电子设备和识别物体的方法

摘要

An object recognition device includes an artificial neural network (NN) engine, a non-volatile memory device and an error correction code (ECC). The NN engine is configured to receive learning data and weights, make an object recognition model (ORM) learn by using a part selected among the learning data and weights, and provide a part of the weights to selected weight data. The non-volatile memory device stores the learned ORM therein. The ECC engine is further configured to perform ECC encoding on the selected weight data to generate parity data, provide the selected weight data and the parity data to the non-volatile memory device, and provide the selected weight data to the artificial NN engine by performing ECC decoding on the selected weight data by using the parity data. The artificial NN engine receives a feature vector extracted from object data constituting an object and applies the feature vector and the selected weight data to the learned ORM to provide a recognition result of the object. Therefore, the present invention can efficiently process artificial intelligence data.
机译:对象识别设备包括人工神经网络(NN)引擎,非易失性存储设备和纠错码(ECC)。 NN引擎被配置为接收学习数据和权重,通过使用从学习数据和权重中选择的部分来使对象识别模型(ORM)学习,并将权重的一部分提供给所选择的权重数据。非易失性存储装置将学习到的ORM存储在其中。 ECC引擎还被配置为对所选择的权重数据执行ECC编码以生成奇偶校验数据,将所选择的权重数据和奇偶校验数据提供给非易失性存储设备,并且通过执行以下操作来将所选择的权重数据提供给人工NN引擎:通过使用奇偶校验数据对选定的权重数据进行ECC解码。人工NN引擎接收从构成对象的对象数据中提取的特征向量,并将特征向量和所选择的权重数据应用于学习的ORM,以提供对象的识别结果。因此,本发明可以有效地处理人工智能数据。

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