Neuromorphic In-Memory RRAM NAND/NOR Circuit Performance Analysis in a CNN Training Framework on the Edge for Low Power IoT
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DOI: 10.1109/access.2022.3219066
Abstract: Training a CNN involves computationally intense optimization algorithms to fit the network using a training dataset, to update the network weight for inferencing and then pattern classification. Hence, the application of in-memory computation would enable… read more here.
Keywords: memory; rram; cnn training; rram nand ... See more keywords