CNN models pre-trained on 1000 ImageNet categories. Currently contains:

* AlexNet and VGG16 with batch normalization added
* Residual Networks with 50 (ResNet-50) and 10 layers (ResNet-10)

Improves over previous pre-trained models and in particular reproduces the ImageNet results of ResNet50 using Caffe. Includes ResNet generation script, training code and log files.

<br/>@article{simon2016cnnmodels,<br/> Author = {Simon, Marcel and Rodner, Erik and Denzler, Joachim},<br/> Journal = {arXiv preprint arXiv:1612.01452},<br/> Title = {ImageNet pre-trained models with batch normalization},<br/> Year = {2016}<br/>}<br/>

[[Models](https://github.com/cvjena/cnn-models)] [[Paper](https://arxiv.org/abs/1612.01452)] [Website]

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