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Title: GitHub - MLNLP-World/DeepLearning-MuLi-Notes: Notes about courses Dive into Deep Learning by Mu Li

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动手学习深度学习(已完结)https://space.bilibili.com/1567748478/channel/seriesdetail?sid=358497
《动手学深度学习》(中文版)https://zh-v2.d2l.ai
《Dive into Deep Learning》 0.17.1 documentationhttps://d2l.ai
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Preliminarieshttps://d2l.ai/chapter_preliminaries/index.html
线性神经网络https://zh-v2.d2l.ai/chapter_linear-networks/index.html
Linear Neural Networkshttps://d2l.ai/chapter_linear-networks/index.html
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Recommender Systemshttps://d2l.ai/chapter_recommender-systems/index.html
Generative Adversarial Networkshttps://d2l.ai/chapter_generative-adversarial-networks/index.html
Appendix: Mathematics for Deep Learninghttps://d2l.ai/chapter_appendix-mathematics-for-deep-learning/index.html
附录: 深度学习工具https://zh-v2.d2l.ai/chapter_appendix-tools-for-deep-learning/index.html
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https://github.com/chase6666
https://www.bilibili.com/video/BV1hh411U7gn?spm_id_from=333.999.0.0
10-多层感知机https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/10-%E5%A4%9A%E5%B1%82%E6%84%9F%E7%9F%A5%E6%9C%BA.md
讲义1https://courses.d2l.ai/zh-v2/assets/pdfs/part-0_12.pdf
2https://courses.d2l.ai/zh-v2/assets/pdfs/part-0_13.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/10-%E5%A4%9A%E5%B1%82%E6%84%9F%E7%9F%A5%E6%9C%BA
https://github.com/Atream
https://github.com/benmagnifico
https://www.bilibili.com/video/BV1kX4y1g7jp?spm_id_from=333.999.0.0
11-模型选择+过拟合和欠拟合https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/11-%E6%A8%A1%E5%9E%8B%E9%80%89%E6%8B%A9+%E8%BF%87%E6%8B%9F%E5%90%88%E5%92%8C%E6%AC%A0%E6%8B%9F%E5%90%88.md
讲义1https://courses.d2l.ai/zh-v2/assets/pdfs/part-0_14.pdf
2https://courses.d2l.ai/zh-v2/assets/pdfs/part-0_15.pdf
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV1UK4y1o7dy?spm_id_from=333.999.0.0
12-权重衰退https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/12-%E6%9D%83%E9%87%8D%E8%A1%B0%E9%80%80.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-0_16.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/12-%E6%9D%83%E9%87%8D%E8%A1%B0%E9%80%80.ipynb
https://github.com/Chigland
https://github.com/Khadorstorm
https://www.bilibili.com/video/BV1Y5411c7aY?spm_id_from=333.999.0.0
13-丢弃法https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/13-%E4%B8%A2%E5%BC%83%E6%B3%95.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-0_17.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/13-%E4%B8%A2%E5%BC%83%E6%B3%95.ipynb
https://github.com/120L031815
https://www.bilibili.com/video/BV1u64y1i75a?spm_id_from=333.999.0.0
14-数值稳定性https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/14-%E6%95%B0%E5%80%BC%E7%A8%B3%E5%AE%9A%E6%80%A7.md
讲义1https://courses.d2l.ai/zh-v2/assets/pdfs/part-0_18.pdf
2https://courses.d2l.ai/zh-v2/assets/pdfs/part-0_19.pdf
https://github.com/Aleafy
https://www.bilibili.com/video/BV1NK4y1P7Tu?spm_id_from=333.999.0.0
15-实战Kaggle预测房价https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/15-%E5%AE%9E%E6%88%98Kaggle%E6%AF%94%E8%B5%9B%EF%BC%9A%E9%A2%84%E6%B5%8B%E6%88%BF%E4%BB%B7.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-0_20.pdf
Jupyter 代码https://zh-v2.d2l.ai/chapter_multilayer-perceptrons/kaggle-house-price.html
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1AK4y1P7vs?spm_id_from=333.999.0.0
16-Pytorch神经网络基础https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/16-Pytorch%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E7%A1%80.md
讲义https://zh-v2.d2l.ai/chapter_deep-learning-computation/model-construction.html
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/16-Pytorch%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%9F%BA%E7%A1%80
https://github.com/Atream
https://github.com/benmagnifico
https://www.bilibili.com/video/BV1z5411c7C1?spm_id_from=333.999.0.0
17-使用和购买GPUhttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/17-%E4%BD%BF%E7%94%A8%E5%92%8C%E8%B4%AD%E4%B9%B0GPU.md
讲义https://zh-v2.d2l.ai/chapter_deep-learning-computation/use-gpu.html
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/17-%E4%BD%BF%E7%94%A8%E5%92%8C%E8%B4%AD%E4%B9%B0GPU.ipynb
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV15Q4y1o7vc?spm_id_from=333.999.0.0
18-预测房价竞赛总结https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/18-%E9%A2%84%E6%B5%8B%E6%88%BF%E4%BB%B7%E7%AB%9E%E8%B5%9B%E6%80%BB%E7%BB%93.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_1.pdf
https://github.com/Chigland
https://github.com/Khadorstorm
https://www.bilibili.com/video/BV1L64y1m7Nh?spm_id_from=333.999.0.0
19-卷积层https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/19-%E5%8D%B7%E7%A7%AF%E5%B1%82.md
讲义1https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_2.pdf
2https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_3.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/19-%E5%8D%B7%E7%A7%AF%E5%B1%82.ipynb
https://github.com/120L031815
https://www.bilibili.com/video/BV1Th411U7UN?spm_id_from=333.999.0.0
20-填充和步幅https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/20-%E5%A1%AB%E5%85%85%E5%92%8C%E6%AD%A5%E5%B9%85.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_4.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/20-%E5%A1%AB%E5%85%85%E5%92%8C%E6%AD%A5%E5%B9%85.ipynb
https://github.com/Aleafy
https://www.bilibili.com/video/BV1MB4y1F7of?spm_id_from=333.999.0.0
21-多输入输出通道https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/21-%E5%A4%9A%E8%BE%93%E5%85%A5%E8%BE%93%E5%87%BA%E9%80%9A%E9%81%93.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_5.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/21-%E5%A4%9A%E8%BE%93%E5%85%A5%E8%BE%93%E5%87%BA%E9%80%9A%E9%81%93.ipynb
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1EV411j7nX?spm_id_from=333.999.0.0
22-池化层https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/22-%E6%B1%A0%E5%8C%96%E5%B1%82.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_6.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/22-%E6%B1%A0%E5%8C%96%E5%B1%82.ipynb
https://github.com/Atream
https://github.com/benmagnifico
https://www.bilibili.com/video/BV1t44y1r7ct?spm_id_from=333.999.0.0
23-LeNethttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/23-%E7%BB%8F%E5%85%B8%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9CLeNet.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_7.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/23-LeNet.ipynb
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV1h54y1L7oe?spm_id_from=333.999.0.0
24-AlexNethttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/24-AlexNet.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_8.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/24-AlexNet.ipynb
https://github.com/kokolerk
https://www.bilibili.com/video/BV1Ao4y117Pd?spm_id_from=333.999.0.0
25-使用块的网络VGGhttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/25-%E4%BD%BF%E7%94%A8%E5%9D%97%E7%9A%84%E7%BD%91%E7%BB%9CVGG.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_9.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/25-VGG.ipynb
https://github.com/Khadorstorm
https://www.bilibili.com/video/BV1Uv411G71b?spm_id_from=333.999.0.0
26-NiNhttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/26-NiN.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_10.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/26-NiN.ipynb
https://github.com/Aleafy
https://www.bilibili.com/video/BV1b5411g7Xo?spm_id_from=333.999.0.0
27-GoogLeNethttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/27-GoogLeNet.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_11.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/27-googlenet.ipynb
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1X44y1r77r?spm_id_from=333.999.0.0
28-批量归一化https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/28-%E6%89%B9%E9%87%8F%E5%BD%92%E4%B8%80%E5%8C%96.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_12.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/28-%E6%89%B9%E9%87%8F%E5%BD%92%E4%B8%80%E5%8C%96.ipynb
https://github.com/Atream
https://github.com/benmagnifico
https://www.bilibili.com/video/BV1bV41177ap?spm_id_from=333.999.0.0
29-残差网络ResNethttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/29-%E6%AE%8B%E5%B7%AE%E7%BD%91%E7%BB%9CResNet.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_13.pdf
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV1z64y1o7iz?spm_id_from=333.999.0.0
30-第二部分完结竞赛https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/30-%E7%AC%AC%E4%BA%8C%E9%83%A8%E5%88%86%E5%AE%8C%E7%BB%93%E7%AB%9E%E8%B5%9B%EF%BC%9A%E5%9B%BE%E7%89%87%E5%88%86%E7%B1%BB.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-1_14.pdf
https://github.com/Khadorstorm
https://www.bilibili.com/video/BV1TU4y1j7Wd?spm_id_from=333.999.0.0
31-CPU和GPUhttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/31-CPU%E5%92%8CGPU.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_1.pdf
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1VV41147PC?spm_id_from=333.999.0.0
32-深度学习硬件https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/32-%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E7%A1%AC%E4%BB%B6.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_2.pdf
https://github.com/kokolerk
https://www.bilibili.com/video/BV1vU4y1V7rd?spm_id_from=333.999.0.0
33-单机多卡并行https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/33-%E5%8D%95%E6%9C%BA%E5%A4%9A%E5%8D%A1%E5%B9%B6%E8%A1%8C%5D
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_3.pdf
https://github.com/Atream
https://github.com/benmagnifico
https://www.bilibili.com/video/BV1MQ4y1R7Qg?spm_id_from=333.999.0.0
34-多GPU训练实现https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/34-%E5%A4%9AGPU%E8%AE%AD%E7%BB%83%E5%AE%9E%E7%8E%B0.ipynb
讲义https://zh-v2.d2l.ai/chapter_computational-performance/multiple-gpus-concise.html
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/34-%E5%A4%9AGPU%E8%AE%AD%E7%BB%83%E5%AE%9E%E7%8E%B0.ipynb
https://github.com/Khadorstorm
https://github.com/KingXHJ
https://www.bilibili.com/video/BV1jU4y1G7iu?spm_id_from=333.999.0.0
35-分布式训练https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/35-%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_4.pdf
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV17y4y1g76q?spm_id_from=333.999.0.0
36-数据增广https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/36-%E6%95%B0%E6%8D%AE%E5%A2%9E%E5%B9%BF.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_5.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/36-%E6%95%B0%E6%8D%AE%E5%A2%9E%E5%B9%BF.ipynb
https://github.com/Khadorstorm
https://github.com/KingXHJ
https://www.bilibili.com/video/BV1Sb4y1d7CR?spm_id_from=333.999.0.0
37-微调https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/37-%E5%BE%AE%E8%B0%83.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_6.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/37-%E5%BE%AE%E8%B0%83.ipynb
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1Eb4y1C7Fn?spm_id_from=333.999.0.0
38-第二次竞赛树叶分类结果https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/38-%E7%AC%AC%E4%BA%8C%E6%AC%A1%E7%AB%9E%E8%B5%9B%E6%A0%91%E5%8F%B6%E5%88%86%E7%B1%BB%E7%BB%93%E6%9E%9C.md
讲义https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/(notes/38-%E7%AC%AC%E4%BA%8C%E6%AC%A1%E7%AB%9E%E8%B5%9B%E6%A0%91%E5%8F%B6%E5%88%86%E7%B1%BB%E7%BB%93%E6%9E%9C.md)
https://github.com/Atream
https://www.bilibili.com/video/BV1Gy4y1M7Cu?spm_id_from=333.999.0.0
39-实战Kaggle比赛-1https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/39-%E5%AE%9E%E6%88%98Kaggle%E7%AB%9E%E8%B5%9B%EF%BC%9ACIFAR-10.md
讲义https://zh-v2.d2l.ai/chapter_computer-vision/kaggle-cifar10.html
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1j5411T7wx?spm_id_from=333.999.0.0
40-实战Kaggle比赛-2https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/40-%E5%AE%9E%E6%88%98Kaggle%E6%AF%94%E8%B5%9B%EF%BC%9A%E7%8B%97%E7%9A%84%E5%93%81%E7%A7%8D%E8%AF%86%E5%88%AB.ipynb
讲义https://zh-v2.d2l.ai/chapter_computer-vision/kaggle-dog.html
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/40-%E5%AE%9E%E6%88%98Kaggle%E6%AF%94%E8%B5%9B%EF%BC%9A%E7%8B%97%E7%9A%84%E5%93%81%E7%A7%8D%E8%AF%86%E5%88%AB.ipynb
https://github.com/Khadorstorm
https://github.com/KingXHJ
https://www.bilibili.com/video/BV1Lh411Y7LX?spm_id_from=333.999.0.0
41-物体检测和数据集https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/41-%E7%89%A9%E4%BD%93%E6%A3%80%E6%B5%8B%E5%92%8C%E6%95%B0%E6%8D%AE%E9%9B%86.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_7.pdf
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV1aB4y1K7za?spm_id_from=333.999.0.0
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_8.pdf
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV1by4y1K7SE?spm_id_from=333.999.0.0
43-树叶分类竞赛技术总结https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/43-%E6%A0%91%E5%8F%B6%E5%88%86%E7%B1%BB%E7%AB%9E%E8%B5%9B%E6%8A%80%E6%9C%AF%E6%80%BB%E7%BB%93.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_9.pdf
https://github.com/Aleafy
https://www.bilibili.com/video/BV1Db4y1C71g?spm_id_from=333.999.0.0
44-物体检测算法https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/44-%E7%89%A9%E4%BD%93%E6%A3%80%E6%B5%8B%E7%AE%97%E6%B3%95%EF%BC%9AR-CNN,SSD,YOLO.md
讲义1https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_10.pdf
2https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_11.pdf
3https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_12.pdf
https://github.com/kokolerk
https://www.bilibili.com/video/BV1ZX4y1c7Sw?p=2
45-SSD实现https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/45-ssd
讲义https://zh-v2.d2l.ai/chapter_computer-vision/ssd.html
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/45-ssd
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1BK4y1M7Rd
46-语义分割和数据集https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/46-%E8%AF%AD%E4%B9%89%E5%88%86%E5%89%B2.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_13.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/46-%E8%AF%AD%E4%B9%89%E5%88%86%E5%89%B2.ipynb
https://github.com/Khadorstorm
https://github.com/KingXHJ
https://www.bilibili.com/video/BV17o4y1X7Jn/
47-转置卷积https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/47-%E8%BD%AC%E7%BD%AE%E5%8D%B7%E7%A7%AF.md
讲义1https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_14.pdf
2https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_15.pdf
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV1af4y1L7Zu/
48-FCNhttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/48-%E5%85%A8%E8%BF%9E%E6%8E%A5%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%EF%BC%88FCN%EF%BC%89.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_16.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/48-%E5%85%A8%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%EF%BC%88FCN%EF%BC%89/fcn.ipynb
https://github.com/kokolerk
https://www.bilibili.com/video/BV1Eh41167GN/
49-样式迁移https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/49-%E6%A0%B7%E5%BC%8F%E8%BF%81%E7%A7%BB.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_17.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/49-%E6%A0%B7%E5%BC%8F%E8%BF%81%E7%A7%BB.ipynb
https://github.com/Atream
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50-课程竞赛https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/50-%E8%AF%BE%E7%A8%8B%E7%AB%9E%E8%B5%9B%EF%BC%9A%E7%89%9B%E4%BB%94%E8%A1%8C%E5%A4%B4%E6%A3%80%E6%B5%8B.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-2_18.pdf
https://github.com/Atream
https://www.bilibili.com/video/BV1L44y1m768/
51-序列模型https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/51-%E5%BA%8F%E5%88%97%E6%A8%A1%E5%9E%8B.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_1.pdf
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1Fo4y1Q79L/
52-文本预处理https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/52-%E6%96%87%E6%9C%AC%E9%A2%84%E5%A4%84%E7%90%86.ipynb
讲义https://zh-v2.d2l.ai/chapter_recurrent-neural-networks/text-preprocessing.html
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/52-%E6%96%87%E6%9C%AC%E9%A2%84%E5%A4%84%E7%90%86.ipynb
https://github.com/Khadorstorm
https://github.com/KingXHJ
https://www.bilibili.com/video/BV1ZX4y1F7K3/
53-语言模型https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/53-%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_2.pdf
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
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54-循环神经网络https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/54-%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9CRNN.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_3.pdf
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1kq4y1H7sw/
55-RNN实现https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/55-RNN.ipynb
讲义https://zh-v2.d2l.ai/chapter_recurrent-neural-networks/rnn-scratch.html
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/55-RNN.ipynb
https://github.com/Aleafy
https://www.bilibili.com/video/BV1mf4y157N2/
56-GRUhttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/56-GRU.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_4.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/56-GRU.ipynb
https://github.com/Aleafy
https://www.bilibili.com/video/BV1JU4y1H7PC/
57-LSTMhttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/57-LSTM.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_5.pdf
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1JM4y1T7N4/
58-深层循环神经网络https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/58-%E6%B7%B1%E5%B1%82%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_6.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/58-%E6%B7%B1%E5%B1%82%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.ipynb
https://github.com/Khadorstorm
https://github.com/KingXHJ
https://www.bilibili.com/video/BV12X4y1c71W/
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_7.pdf
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV1H64y1s7TH/
60-机器翻译数据集https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/60_%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91%E4%B8%8E%E6%95%B0%E6%8D%AE%E9%9B%86.ipynb
讲义https://zh-v2.d2l.ai/chapter_recurrent-modern/machine-translation-and-dataset.html
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/60_%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91%E4%B8%8E%E6%95%B0%E6%8D%AE%E9%9B%86.ipynb
https://github.com/Khadorstorm
https://github.com/KingXHJ
https://www.bilibili.com/video/BV1c54y1E7YP/
61-编码器-解码器架构https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/61-%E7%BC%96%E7%A0%81%E5%99%A8-%E8%A7%A3%E7%A0%81%E5%99%A8%E6%9E%B6%E6%9E%84.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_8.pdf
https://github.com/Atream
https://www.bilibili.com/video/BV16g411L7FG/
62-序列到序列的学习https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/62-%E5%BA%8F%E5%88%97%E5%88%B0%E5%BA%8F%E5%88%97%E5%AD%A6%E4%B9%A0.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_9.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/62-Seq2Seq.ipynb
https://github.com/Aleafy
https://github.com/Atream
https://www.bilibili.com/video/BV1B44y1C7m1/
63-束搜索https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/63-%E6%9D%9F%E6%90%9C%E7%B4%A2.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-3_10.pdf
https://github.com/Atream
https://www.bilibili.com/video/BV1264y1i7R1/
64-注意力机制https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/64-%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6.ipynb
讲义https://zh-v2.d2l.ai/chapter_attention-mechanisms/nadaraya-waston.html
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/64-%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6.ipynb
https://github.com/Khadorstorm
https://github.com/KingXHJ
https://www.bilibili.com/video/BV1Tb4y167rb/
65-注意力分数https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/65-%E6%B3%A8%E6%84%8F%E5%8A%9B%E5%88%86%E6%95%B0.md
讲义https://zh-v2.d2l.ai/chapter_attention-mechanisms/attention-scoring-functions.html
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV1v44y1C7Tg/
讲义https://zh-v2.d2l.ai/chapter_attention-mechanisms/bahdanau-attention.html
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV19o4y1m7mo/
67-自注意力https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/67-%E8%87%AA%E6%B3%A8%E6%84%8F%E5%8A%9B%E5%92%8C%E4%BD%8D%E7%BD%AE%E7%BC%96%E7%A0%81.ipynb
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-4_4.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/67-%E8%87%AA%E6%B3%A8%E6%84%8F%E5%8A%9B%E5%92%8C%E4%BD%8D%E7%BD%AE%E7%BC%96%E7%A0%81.ipynb
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV1Kq4y1H7FL/
68-Transformerhttps://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/68-Transformer.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-4_5.pdf
Jupyter 代码https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/code/68-Transforemer/transformer.ipynb
https://github.com/kokolerk
https://www.bilibili.com/video/BV1yU4y1E7Ns/
69-BERT预训练https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/69-bert%E9%A2%84%E8%AE%AD%E7%BB%83.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-4_6.pdf
https://github.com/kinza99
https://github.com/chase6666
https://www.bilibili.com/video/BV15L4y1v7ts
70-BERT微调https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/70-BERT%E5%BE%AE%E8%B0%83.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-4_7.pdf
https://github.com/Khadorstorm
https://github.com/KingXHJ
https://www.bilibili.com/video/BV13b4y1m7y8
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-4_1.pdf
https://github.com/dcy-dhsunabzh
https://github.com/fghccv
https://www.bilibili.com/video/BV1bP4y1p7Gq
72-优化算法https://github.com/MLNLP-World/DeepLearning-MuLi-Notes/blob/main/notes/72-%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95.md
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-4_2.pdf
https://github.com/kokolerk
https://www.bilibili.com/video/BV1AL4y1Y7gu
73-课程总结和进阶学习https://courses.d2l.ai/zh-v2/assets/pdfs/part-4_3.pdf
讲义https://courses.d2l.ai/zh-v2/assets/pdfs/part-4_3.pdf
https://github.com/Atream
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