1- 21# Deep Learning Tutorials with Tensorflow
32The deeplearning algorithms are carefully implemented by [ tensorflow] ( https://www.tensorflow.org/ ) .
43### Environment
@@ -23,7 +22,8 @@ Note: the project aims at imitating the well-implemented algorithms in [Deep Lea
2322- 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 )]
2423- ShuffleNet [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/CNNs/ShuffleNet.py ) by pytorch [ paper] ( http://cn.arxiv.org/pdf/1707.01083v2 )]
2524
26- 25+ ### Object detection
26+ - YOLOv1 [[ self] ( https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/ObjectDetections/yolo/yolo_tf.py ) [ paper] ( https://arxiv.org/abs/1506.02640 ) [ ref] ( https://github.com/gliese581gg/YOLO_tensorflow )]
2727
2828### Practical examples
2929You can find more practical examples with tensorflow here:
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