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vgg13_bn
glasses/vgg13_bn
vgg13_bn is a machine learning model from glasses. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Implementation of VGG proposed in Very Deep Convolutional Networks For Large-Scale Image Recognition
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.bin532 MB · 100%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 1, 2021
- SHA
- e09a0a71
Model card
From the Hugging Face model README
vgg13_bn
Implementation of VGG proposed in Very Deep Convolutional Networks For Large-Scale Image Recognition
VGG.vgg11()
VGG.vgg13()
VGG.vgg16()
VGG.vgg19()
VGG.vgg11_bn()
VGG.vgg13_bn()
VGG.vgg16_bn()
VGG.vgg19_bn()
Please be aware that the [bn]{.title-ref} models uses BatchNorm but they are very old and people back then don't know the bias is superfluous in a conv followed by a batchnorm.
Examples:
# change activation
VGG.vgg11(activation = nn.SELU)
# change number of classes (default is 1000 )
VGG.vgg11(n_classes=100)
# pass a different block
from nn.models.classification.senet import SENetBasicBlock
VGG.vgg11(block=SENetBasicBlock)
# store the features tensor after every block
- Library
- transformers
- Created
- Mar 2, 2022
- Updated
- Dec 1, 2021