Sunday, July 15, 2018

Deep Learning in PyTorch:理論與實作(draft01)

Deep Learning in PyTorch:理論與實作(draft01)

2018/07/14

施工中...

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Torch *

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Deep Learning in PyTorch:理論與實作

Preface

Forward

Table of Contents
 
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Part I

1. Introduction of Deep Learning

1.1  Deep Learning Paper
http://hemingwang.blogspot.com/2016/12/ai.html

1.2 Deep Learning Book
http://www.deeplearningbook.org/

2. Introduction of PyTorch

2.1 Frameworks
http://hemingwang.blogspot.com/2017/10/aipopular-deep-learning-software-tools.html

2.2 PyTorch
http://hemingwang.blogspot.com/2017/11/pytorchpytorch.html

2.3 PyTorch vs. TensorFlow
http://hemingwang.blogspot.com/2017/11/pytorchpytorch-vs-tensorflow.html

2.4 GPU
http://hemingwang.blogspot.com/2017/11/aipopular-deep-learning-hardware-tools_6.html

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Part II

3. LeNet

3.1 LeNet
http://hemingwang.blogspot.com/2017/03/ailenet.html
http://hemingwang.blogspot.com/2017/03/ailenet-f6.html
http://hemingwang.blogspot.com/2018/02/deep-learninglenet-bp.html

3.2 Back Propagation
http://hemingwang.blogspot.com/2017/02/aiback-propagation.html

3.3 LeNet in Python (Lab)
http://hemingwang.blogspot.com/2017/04/lenet.html

3.4 LeNet in PyTorch (Lab)
https://zhuanlan.zhihu.com/p/29716516

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Part III

4. PyTorch Tutorials
https://pytorch.org/tutorials/

5. PyTorch Documentation
https://pytorch.org/docs/stable/index.html
https://pytorch-cn.readthedocs.io/zh/latest/

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Part IV

6. CNN

6.1 AlexNet
http://hemingwang.blogspot.com/2017/05/aialexnet.html
http://hemingwang.blogspot.com/2018/01/pytorch-seminaralexnet.html
http://hemingwang.blogspot.com/2018/04/deep-learning-paperalexnet.html
(Lab)
https://zhuanlan.zhihu.com/p/29786939

6.2 ZFNet
http://hemingwang.blogspot.com/2017/05/aikernel-visualizing.html
https://www.facebook.com/groups/Taiwan.AI.Group/permalink/2073285106327253/
(Lab)
https://medium.com/@airconaaron/visualizing-cnn-filters-in-pytorch-491f38a99ee5

6.3 NIN
http://hemingwang.blogspot.com/2017/06/ainetwork-in-network.html
(Lab)
https://github.com/LianHaiMiao/pytorch-lesson-zh/blob/master/CV/py/NIN.py

6.4 GoogLeNet
http://hemingwang.blogspot.com/2017/06/aigooglenet.html
http://hemingwang.blogspot.com/2017/06/aiconv1.html
http://hemingwang.blogspot.com/2017/08/aiinception.html
(Lab)
https://zhuanlan.zhihu.com/p/30172532
 
6.5 VGGNet
(Lab)

RNN
http://hemingwang.blogspot.com/2017/03/airecurrent-neural-network.html
http://hemingwang.blogspot.com/2018/02/airnnlstmin-120-mins.html
(Lab)

6.6 ResNet
http://hemingwang.blogspot.com/2018/02/deep-learningcnn.html
(Lab)
https://blog.csdn.net/jiangpeng59/article/details/79609392

7. FCN

7.1 FCN
https://hemingwang.blogspot.com/2018/02/deep-learningfcn.html
(Lab)
https://github.com/wkentaro/pytorch-fcn

8. Object Detection

8.1 R-CNN

8.2 Faster R-CNN
http://hemingwang.blogspot.com/2018/03/deep-learningr-cnn.html
(Lab)
https://github.com/jwyang/faster-rcnn.pytorch

8.3 YOLO v1
http://hemingwang.blogspot.com/2018/04/machine-learning-conceptmean-average.html
http://hemingwang.blogspot.com/2018/04/machine-learning-conceptnon-maximum.html
http://hemingwang.blogspot.com/2018/04/deep-learningyolo-v1.html
(Lab)

8.4 SSD
(Lab)
https://zhuanlan.zhihu.com/p/31473353

8.5 YOLO v2
Lab

8.5 FCN
Lab

8.6 YOLO v3
Lab

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Part V

13. Conclusion

13.1 Conclusion

13.2 Future Work

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Appendix

Appendix A. 如何加強英文能力


Appendix B. 如何閱讀一篇論文

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Note *
https://pixabay.com/zh/%E8%87%AA%E7%94%B1%E5%A5%B3%E7%A5%9E%E5%83%8F-%E9%87%8C%E7%A8%8B%E7%A2%91-%E8%87%AA%E7%94%B1-%E9%9B%95%E5%83%8F-%E7%BE%8E%E5%9B%BD-%E7%AC%A6%E5%8F%B7-%E7%8B%AC%E7%AB%8B-%E7%81%AB%E7%82%AC-1210001/

2 comments:

周映均 said...

謝謝您的無私分享

Marcel said...

稍後會有比較完整的版本。