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Currently, Convolutional Neural Networks (CNN) accelerators find application in various digital domains, each highlighting memory utilization as a significant concern leading to system degradation.In response, our present work focuses on optimizing the memory usage kel instruments soil tester of CNN through a strategic approach.The resulting system

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