This repository contains a compilation of Deep Learning architectures implemented using the Keras framework. The implementations are based on their respective scientific papers.
You can check each model's summaries by running the python file. All model information such as layers and number of parameters will be printed out.
| Author | Year | Architecture | Paper Link |
|---|---|---|---|
| Yann Lecun | 1998 | LeNet-5 | Paper Link |
| Alex Krizhevsky | 2012 | AlexNet | Paper Link |
| Karen Simonyan | 2015 | VGG-16 | Paper Link |
| Karen Simonyan | 2015 | VGG-19 | Paper Link |
| Christian Szegedy | 2015 | GoogLeNet | Paper Link |
| Kaiming He | 2015 | ResNet-50 | Paper Link |
| Olaf Ronneberger | 2015 | U-Net | Paper Link |