squeezenet1_0: Squeezenet1_0
In fastai: Interface to 'fastai'
View source: R/vision_models.R
squeezenet1_0 R Documentation
Squeezenet1_0
Description
SqueezeNet model architecture from the '"SqueezeNet: AlexNet-level
Usage
squeezenet1_0(pretrained = FALSE, progress)
Arguments
pretrained
pretrained or not
progress
to see progress bar or not
Details
accuracy with 50x fewer parameters and <0.5MB model size"
<https://arxiv.org/abs/1602.07360>'_ paper.
Value
model
fastai documentation built on March 31, 2023, 11:41 p.m.
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View source: R/vision_models.R
| squeezenet1_0 | R Documentation |
Squeezenet1_0
Description
SqueezeNet model architecture from the '"SqueezeNet: AlexNet-level
Usage
squeezenet1_0(pretrained = FALSE, progress)
Arguments
pretrained |
pretrained or not |
progress |
to see progress bar or not |
Details
accuracy with 50x fewer parameters and <0.5MB model size" <https://arxiv.org/abs/1602.07360>'_ paper.
Value
model
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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