An Architectural Error Metric for CNN-Oriented Approximate Multipliers

Ao Liu, Jie Han, Qin Wang +2

As a potential alternative for implementing the large number of multiplications in convolutional neural networks (CNNs), approximate multipliers (AMs) promise both high hardware ef…