The go-to method applied to computer vision tasks involves convolutional neural networks. While computer vision has made great strides in utilizing convolutional neural networks there is still room for optimization. Many researchers still attempt to improve accuracy as well as improve computational requirements of the networks. ResNet is one such model which set out to improve the capabilities of these networks. In this work, an extension of the residual-unit from ResNet is introduced...