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Improving the accuracy of neural networks in analog computing-in-memory systems by a generalized quantization method
Therefore, a suitable quantization algorithm is important when deploying a DNN into CACIM systems to obtain less accuracy loss.
A Training Scheme for the Uncertain Neuromorphic Computing Chips
In this work, we proposed the uncertainty adaptation training scheme (UATS) that tells the uncertainty to the neural network in the training process.
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