Before revision:  As a result, the proposed AdderNets can achieve  75.7\% Top-1 accuracy  92.3\% Top-5 accuracy using ResNet-50 on the ImageNet dataset without any multiplication in convolutional layer. Moreover, we develop a theoretical foundation for AdderNets, by showing that both the single hidden layer AdderNet and the width-bounded deep AdderNet with ReLU activation functions are universal function approximators. These results match those of the traditional neural networks using the more complex multiplication units. An approximation bound for AdderNets with a single hidden layer is also presented .
After revision:  As a result, the proposed AdderNets can achieve 75.7\% Top-1 accuracy 92.3\% Top-5 accuracy using ResNet-50 on the ImageNet dataset without any multiplication in the convolutional layer .