@@ -74,14 +74,14 @@ Learn Deep Learning with PyTorch
7474
7575### part2: 深度学习的应用
7676- Chapter 9: 计算机视觉
77- - [ Fine-tuning: 通过微调进行迁移学习] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter9_Computer-Vision/fine_tune/fine-tune.ipynb )
77+ - [ Fine-tuning: 通过微调进行迁移学习] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter9_Computer-Vision/fine_tune/ )
7878 - [ 语义分割: 通过 FCN 实现像素级别的分类] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/tree/master/chapter9_Computer-Vision/segmentation )
7979 - Pixel to Pixel 生成对抗网络
8080 - Neural Transfer: 通过卷积网络实现风格迁移
8181 - Deep Dream: 探索卷积网络眼中的世界
8282
8383- Chapter 10: 自然语言处理
84- - char rnn 实现文本生成
84+ - [ Char RNN 实现文本生成] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter10_Natural-Language-Process/Char-RNN/ )
8585 - Image Caption: 实现图片字幕生成
8686 - seq2seq 实现机器翻译
8787 - cnn + rnn + attention 实现文本识别
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