Tensorflow pretrained image classification models available at [https://github.com/tensorflow/models/tree/master/research/slim](https://github.com/tensorflow/models/tree/master/research/slim)
##### Singlelabel Model [PDF](https://arxiv.org/pdf/1512.03385.pdf)
* How to retrain Singlelabel:
TODO
@@ -29,7 +31,8 @@ TODO
[Trained model (+Hyperparameters)](/models/singlelabel_hp/)
##### ResNet Model
##### ResNet Model [PDF](https://arxiv.org/pdf/1512.03385.pdf)
* How to retrain ResNet:
***Results:**
@@ -90,6 +93,12 @@ Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2017). **Show and tell: Lesson
Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhudinov, R., ... & Bengio, Y. (2015, June). **Show, attend and tell: Neural image caption generation with visual attention**. In **International conference on machine learning** (pp. 2048-2057).
[PDF](http://proceedings.mlr.press/v37/xuc15.pdf)
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., & Wojna, Z. (2016). **Rethinking the inception architecture for computer vision**. In *Proceedings of the IEEE conference on computer vision and pattern recognition* (pp. 2818-2826).
[PDF](https://arxiv.org/pdf/1512.00567.pdf)
He, K., Zhang, X., Ren, S., & Sun, J. (2016). **Deep residual learning for image recognition**. In *Proceedings of the IEEE conference on computer vision and pattern recognition* (pp. 770-778).
[PDF](https://arxiv.org/pdf/1512.03385.pdf)
## LICENSE
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details
