This is my personal library that implements some famous deeplearning models. The models are implemented using TensorFlow .
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Clone the repository:
git clone https://github.com/danghoangnhan/tensorflow_implementation cd tensorflow_implementation
- Image Classification
| Model | Papers | Authors | Year |
|---|---|---|---|
| LeNet (1, 4, 5) | Gradient-Based Learning Applied to Document Recognition | Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner | 1998 |
| AlexNet | ImageNet Classification with Deep Convolutional Neural Networks | Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton | 2012 |
| VGG (16, 19) | Very Deep Convolutional Networks for Large-Scale Image Recognition | Karen Simonyan, Andrew Zisserman | 2014 |
| ResNet (18, 34, 50, 101, 152) | Deep Residual Learning for Image Recognition | Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun | 2015 |
| InceptionV1 (GoogLeNet) | Going Deeper with Convolutions | Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich | 2014 |
| InceptionV2/V3 | Rethinking the Inception Architecture for Computer Vision | Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens | 2015 |