SqueezeNet
SqueezeNet
**SqueezeNet** is a convolutional neural network that employs design strategies to reduce the number of parameters, notably with the use of fire modules that "squeeze" parameters using 1x1 convolutions.
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
https://paperswithcode.com/paper/squeezenet-alexnet-level-accuracy-with-50x
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size