@@ -18,6 +18,7 @@ Note: the project aims at imitating the well-implemented algorithms in [Deep Lea
1818
1919### CNN Models
2020- MobileNet [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/CNNs/MobileNet.py ) [ paper] ( https://arxiv.org/abs/1704.04861 ) [ ref] ( https://github.com/Zehaos/MobileNet/blob/master/nets/mobilenet.py )]
21+ - MobileNetv2 [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/CNNs/mobilenet_v2.py ) [ paper] ( https://arxiv.org/pdf/1801.04381.pdf ) [ ref] ( https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet )]
2122- SqueezeNet [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/CNNs/SqueezeNet.py ) [ paper] ( https://arxiv.org/abs/1602.07360 )]
2223- ResNet [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/CNNs/ResNet50.py ) [ caffe ref] ( https://github.com/KaimingHe/deep-residual-networks ) [ paper1] ( https://arxiv.org/abs/1512.03385 ) [ paper2] ( https://arxiv.org/abs/1603.05027 )]
2324- ShuffleNet [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/CNNs/ShuffleNet.py ) by pytorch [ paper] ( http://cn.arxiv.org/pdf/1707.01083v2 )]
0 commit comments