MobileNetV2 is a convolutional neural network architecture designed to perform well on mobile devices. It is based on an inverted residual structure, where the residual connections occur between the bottleneck layers. The intermediate expansion layer employs lightweight depth wise convolutions to filter features, serving as a source of non-linearity. It aims to strike a balance… Continue reading MobileNetV2