ShuffleNet is a convolutional neural network architecture designed specifically for mobile devices with very limited computing power. ShuffleNet aims to achieve high accuracy while minimizing computation cost. ShuffleNet introduces this operation to reduce computation. It combines pointwise convolutions, 1×1 convolutions with group convolutions. The group convolutions allow efficient parallelization across channels. It groups input channels… Continue reading ShuffleNet and SqueezeNet