Lightweight CNN Architectures: SqueezeNet and SqueezeNext
SqueezeNet Model SqueezeNet represents a significant advancement in lightweight neural network design, published at ICLR 2017. This architecture achieves AlexNet-level accuracy while utilizing only 1/50th of its parameters. The core innovation of SqueezeNet is the Fire Module, which consists of Squeeze and Expand components. The Squeeze compone ...
Posted on Sat, 29 Aug 2026 16:29:51 +0000 by Raphael diSanto