Statements (31)
| 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 |
| 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:ImageNet:_A_Large-Scale_Hierarchical_Image_Database
gptkb:TorchVision gptkb:ShuffleNet |
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
SqueezeNet
|