# Very Deep Convolutional Networks for Large-Scale Image Recognition
<b>Paper:</b> <a href="https://arxiv.org/abs/1409.1556">https://arxiv.org/abs/1409.1556</a>  
 
# About
These are the pretrained weights for [this](https://github.com/matthias-wright/flaxmodels/tree/main/flaxmodels/vgg) VGG implementation in Jax/Flax. The weights are taken from [this](https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py) repository. 

# Documentation
[Here](https://github.com/matthias-wright/flaxmodels/blob/main/docs/Documentation.md#1-checkpoints) is a documentation that explains the preprocessing steps as well as the format of the pretrained weights.
{}
arxiv:1409.1556 region:us
TAGS
#arxiv-1409.1556 #region-us 

# Very Deep Convolutional Networks for Large-Scale Image Recognition
<b>Paper:</b> <a href="URL/URL  
 
# About
These are the pretrained weights for this VGG implementation in Jax/Flax. The weights are taken from this repository. 

# Documentation
Here is a documentation that explains the preprocessing steps as well as the format of the pretrained weights.
# Very Deep Convolutional Networks for Large-Scale Image Recognition
<b>Paper:</b> <a href="URL/URL # About
These are the pretrained weights for this VGG implementation in Jax/Flax. The weights are taken from this repository. # Documentation
Here is a documentation that explains the preprocessing steps as well as the format of the pretrained weights.
TAGS
#arxiv-1409.1556 #region-us 
 # Very Deep Convolutional Networks for Large-Scale Image Recognition
<b>Paper:</b> <a href="URL/URL # About
These are the pretrained weights for this VGG implementation in Jax/Flax. The weights are taken from this repository. # Documentation
Here is a documentation that explains the preprocessing steps as well as the format of the pretrained weights.
passage: TAGS
#arxiv-1409.1556 #region-us 
# Very Deep Convolutional Networks for Large-Scale Image Recognition
<b>Paper:</b> <a href="URL/URL# About
These are the pretrained weights for this VGG implementation in Jax/Flax. The weights are taken from this repository.# Documentation
Here is a documentation that explains the preprocessing steps as well as the format of the pretrained weights.