Electronic devices

An electronic device includes a graphic processor and a memory device. The graphic processor includes an artificial neural network engine that makes an object recognition model learn by using learning data and weights to provide a learned object recognition model. The memory device divides a feature...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Lee, Ji-Yong, Kim, Chol-Min, Ko, Tae-Kyeong, Seo, Deok-Ho
Format: Patent
Sprache:eng
Schlagworte:
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Beschreibung
Zusammenfassung:An electronic device includes a graphic processor and a memory device. The graphic processor includes an artificial neural network engine that makes an object recognition model learn by using learning data and weights to provide a learned object recognition model. The memory device divides a feature vector into a first sub feature vector and a second feature vector, and performs a first calculation to apply the second sub feature vector and the weights to the learned object recognition model to provide a second object recognition result. The artificial neural network engine performs a second calculation to apply the first sub feature vector and the weights to the learned object recognition model to provide a first object recognition result and provides the first object recognition result to the memory device. The second calculation is performed in parallel with the first calculation.