33The deeplearning algorithms are carefully implemented by [ tensorflow] ( https://www.tensorflow.org/ ) .
44### Environment
55- Python 3.5
6- - tensorflow 0.12
6+ - tensorflow 1.4
7+ - pytorch 0.2.0
78
89### The deeplearning algorithms includes (now):
910- Logistic Regression [ logisticRegression.py] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/logisticRegression.py )
@@ -20,6 +21,7 @@ Note: the project aims at imitating the well-implemented algorithms in [Deep Lea
2021- 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 )]
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 )]
24+ - ShuffleNet [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/CNNs/ShuffleNet.py ) by pytorch [ paper] ( http://cn.arxiv.org/pdf/1707.01083v2 )]
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