Fig. 6: MNIST accuracy experimental results. | npj Unconventional Computing

Fig. 6: MNIST accuracy experimental results.

From: Demonstration of 4-quadrant analog in-memory matrix multiplication in a single modulation

Fig. 6: MNIST accuracy experimental results.The alternative text for this image may have been generated using AI.

a Network used for MNIST handwritten digit recognition. b Implementation of the network on one core of the chip. The weights of the first and second layers are replicated 4 and 2 times, respectively, as indicated by the red borders. The inputs to those layers are also replicated the same number of times. This is done to increase the input current to the ADC and average the weight programming noise, which improves the signal-to-noise ratio and leads to higher accuracy. The last 16 SLs of the core are reserved for the bias weights (see “Implementation”). c Accuracy obtained from the on-chip experiments with four-phase and single-phase reading schemes compared with the accuracy of the same model run in software (FP model).

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