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30-第二部分完结竞赛：图片分类.mdhttps://github.com/petermantis/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
30-第二部分完结竞赛：图片分类.mdhttps://github.com/petermantis/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
31-CPU和GPU.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/31-CPU%E5%92%8CGPU.md
31-CPU和GPU.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/31-CPU%E5%92%8CGPU.md
32-深度学习硬件.mdhttps://github.com/petermantis/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
32-深度学习硬件.mdhttps://github.com/petermantis/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
33-单机多卡并行.mdhttps://github.com/petermantis/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.md
33-单机多卡并行.mdhttps://github.com/petermantis/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.md
34-多GPU训练实现(only QA).mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/34-%E5%A4%9AGPU%E8%AE%AD%E7%BB%83%E5%AE%9E%E7%8E%B0(only%20QA).md
34-多GPU训练实现(only QA).mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/34-%E5%A4%9AGPU%E8%AE%AD%E7%BB%83%E5%AE%9E%E7%8E%B0(only%20QA).md
35-分布式训练.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/35-%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83.md
35-分布式训练.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/35-%E5%88%86%E5%B8%83%E5%BC%8F%E8%AE%AD%E7%BB%83.md
36-数据增广.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/36-%E6%95%B0%E6%8D%AE%E5%A2%9E%E5%B9%BF.md
36-数据增广.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/36-%E6%95%B0%E6%8D%AE%E5%A2%9E%E5%B9%BF.md
37-微调.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/37-%E5%BE%AE%E8%B0%83.md
37-微调.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/37-%E5%BE%AE%E8%B0%83.md
38-第二次竞赛树叶分类结果.mdhttps://github.com/petermantis/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
38-第二次竞赛树叶分类结果.mdhttps://github.com/petermantis/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
39-实战Kaggle竞赛：CIFAR-10.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/39-%E5%AE%9E%E6%88%98Kaggle%E7%AB%9E%E8%B5%9B%EF%BC%9ACIFAR-10.md
39-实战Kaggle竞赛：CIFAR-10.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/39-%E5%AE%9E%E6%88%98Kaggle%E7%AB%9E%E8%B5%9B%EF%BC%9ACIFAR-10.md
41-物体检测和数据集.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/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
41-物体检测和数据集.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/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
43-树叶分类竞赛技术总结.mdhttps://github.com/petermantis/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
43-树叶分类竞赛技术总结.mdhttps://github.com/petermantis/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
44-物体检测算法：R-CNN,SSD,YOLO.mdhttps://github.com/petermantis/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%2CSSD%2CYOLO.md
44-物体检测算法：R-CNN,SSD,YOLO.mdhttps://github.com/petermantis/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%2CSSD%2CYOLO.md
46-语义分割.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/46-%E8%AF%AD%E4%B9%89%E5%88%86%E5%89%B2.md
46-语义分割.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/46-%E8%AF%AD%E4%B9%89%E5%88%86%E5%89%B2.md
47-转置卷积.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/47-%E8%BD%AC%E7%BD%AE%E5%8D%B7%E7%A7%AF.md
47-转置卷积.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/47-%E8%BD%AC%E7%BD%AE%E5%8D%B7%E7%A7%AF.md
48-全连接卷积神经网络（FCN）.mdhttps://github.com/petermantis/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
48-全连接卷积神经网络（FCN）.mdhttps://github.com/petermantis/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
49-样式迁移.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/49-%E6%A0%B7%E5%BC%8F%E8%BF%81%E7%A7%BB.md
49-样式迁移.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/49-%E6%A0%B7%E5%BC%8F%E8%BF%81%E7%A7%BB.md
50-课程竞赛：牛仔行头检测.mdhttps://github.com/petermantis/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
50-课程竞赛：牛仔行头检测.mdhttps://github.com/petermantis/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
51-序列模型.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/51-%E5%BA%8F%E5%88%97%E6%A8%A1%E5%9E%8B.md
51-序列模型.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/51-%E5%BA%8F%E5%88%97%E6%A8%A1%E5%9E%8B.md
53-语言模型.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/53-%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B.md
53-语言模型.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/53-%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B.md
54-循环神经网络RNN.mdhttps://github.com/petermantis/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
54-循环神经网络RNN.mdhttps://github.com/petermantis/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
56-GRU.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/56-GRU.md
56-GRU.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/56-GRU.md
57-LSTM.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/57-LSTM.md
57-LSTM.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/57-LSTM.md
58-深层循环神经网络.mdhttps://github.com/petermantis/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
58-深层循环神经网络.mdhttps://github.com/petermantis/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
61-编码器-解码器架构.mdhttps://github.com/petermantis/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
61-编码器-解码器架构.mdhttps://github.com/petermantis/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
62-序列到序列学习.mdhttps://github.com/petermantis/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
62-序列到序列学习.mdhttps://github.com/petermantis/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
63-束搜索.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/63-%E6%9D%9F%E6%90%9C%E7%B4%A2.md
63-束搜索.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/63-%E6%9D%9F%E6%90%9C%E7%B4%A2.md
65-注意力分数.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/65-%E6%B3%A8%E6%84%8F%E5%8A%9B%E5%88%86%E6%95%B0.md
65-注意力分数.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/65-%E6%B3%A8%E6%84%8F%E5%8A%9B%E5%88%86%E6%95%B0.md
68-Transformer.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/68-Transformer.md
68-Transformer.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/68-Transformer.md
69-bert预训练.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/69-bert%E9%A2%84%E8%AE%AD%E7%BB%83.md
69-bert预训练.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/69-bert%E9%A2%84%E8%AE%AD%E7%BB%83.md
70-BERT微调.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/70-BERT%E5%BE%AE%E8%B0%83.md
70-BERT微调.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/70-BERT%E5%BE%AE%E8%B0%83.md
72-优化算法.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/72-%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95.md
72-优化算法.mdhttps://github.com/petermantis/DeepLearning-MuLi-Notes/blob/main/notes/72-%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95.md
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