SqueezeNet

GPTKB entity

Statements (29)
Predicate Object
gptkbp:instanceOf gptkb:convolutional_neural_network
gptkbp:designedFor image classification
gptkbp:developedBy gptkb:Kurt_Keutzer
gptkb:Song_Han
Forrest N. Iandola
Khalid Ashraf
Matthew W. Moskewicz
William J. Dally
gptkbp:digestSize 224x224
gptkbp:frameworkSupport gptkb:TensorFlow
gptkb:MXNet
gptkb:Caffe
gptkb:PyTorch
https://www.w3.org/2000/01/rdf-schema#label SqueezeNet
gptkbp:influencedBy gptkb:AlexNet
gptkbp:license gptkb:BSD_license
gptkbp:notableFeature small model size
AlexNet-level accuracy with 50x fewer parameters
fire module
gptkbp:notablePublication https://arxiv.org/abs/1602.07360
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
gptkbp:openSource yes
gptkbp:parameter 1.24 million
gptkbp:publicationYear 2016
gptkbp:usedIn IoT devices
embedded systems
mobile devices
gptkbp:bfsParent gptkb:convolutional_neural_network
gptkbp:bfsLayer 5