All-round AI Lectures - Lab

All-round AI Lectures - Lab

2019/12/21

前言：

全方位 AI 課程，精選十個實作。 參考資料與報名連結在最下方。

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Fig. Lab（圖片來源：Pixabay）。

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一、LeNet-Lab [1]。

二、SENet-Lab [2]。

三、ResNet-Lab [3]。

四、YOLACT++-Lab [4]。

五、YOLOv3-Lab [5]。

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六、LSTM-Lab [6]。

七、Seq2seq-Lab [7]。

八、Ranger-Lab [12]。

九、Transformer-Lab [10]。

十、BERT-Lab [11]。

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References

[1] LeNet_LeNet at master · HiCraigChen_LeNet · GitHub
https://github.com/HiCraigChen/LeNet/tree/master/LeNet

[2] pytorch实现SeNet_winycg的博客-CSDN博客
https://blog.csdn.net/winycg/article/details/89285912

[3] 通过和resnet18和resnet50理解PyTorch的ResNet模块_得克特-CSDN博客
https://blog.csdn.net/weixin_40548136/article/details/88820996

[4] 【YOLACT】训练自己数据集_mjiansun的专栏-CSDN博客
https://blog.csdn.net/u013066730/article/details/103720215

[5] 利用PyTorch自己动手从零实现YOLOv3 _ 从零开始的BLOG
https://hellozhaozheng.github.io/z_post/PyTorch-YOLO/

[6] Sequence Models and Long-Short Term Memory Networks — PyTorch Tutorials 1.4.0 documentation
https://pytorch.org/tutorials/beginner/nlp/sequence_models_tutorial.html

[7] Deploying a Seq2Seq Model with TorchScript — PyTorch Tutorials 1.4.0 documentation
https://pytorch.org/tutorials/beginner/deploy_seq2seq_hybrid_frontend_tutorial.html

[8] NLP From Scratch  Translation with a Sequence to Sequence Network and Attention — PyTorch Tutorials 1.4.0 documentation
https://pytorch.org/tutorials/intermediate/seq2seq_translation_tutorial.html

[9] Understanding incremental decoding in fairseq – Telesens
http://www.telesens.co/2019/04/21/understanding-incremental-decoding-in-fairseq/

[10] How to code The Transformer in Pytorch - Towards Data Science
https://towardsdatascience.com/how-to-code-the-transformer-in-pytorch-24db27c8f9ec

[11] BERT for dummies — Step by Step Tutorial - Towards Data Science
https://towardsdatascience.com/bert-for-dummies-step-by-step-tutorial-fb90890ffe03

[12] New Deep Learning Optimizer, Ranger  Synergistic combination of RAdam + LookAhead for the best of both
https://medium.com/@lessw/new-deep-learning-optimizer-ranger-synergistic-combination-of-radam-lookahead-for-the-best-of-2dc83f79a48d

[13] 全方位 AI 課程（六十小時搞定深度學習）
http://hemingwang.blogspot.com/2020/01/all-round-ai-lectures.html 

[14] 全方位 AI 課程報名處
https://www.facebook.com/permalink.php?story_fbid=113391586856343&id=104808127714689