@@ -52,11 +52,11 @@ Learn Deep Learning with PyTorch
5252- Chapter 5: 循环神经网络
5353 - [ 循环神经网络模块:LSTM 和 GRU] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter5_RNN/pytorch-rnn.ipynb )
5454 - [ 使用 RNN 进行图像分类] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter5_RNN/rnn-for-image.ipynb )
55- - 使用 RNN 进行时间序列分析
55+ - [ 使用 RNN 进行时间序列分析] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter5_RNN/time-series/lstm-time-series.ipynb )
5656 - 自然语言处理的应用:
57- - Word Embedding
58- - N-Gram 模型
59- - Seq-LSTM 做词性预测
57+ - [ Word Embedding] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter5_RNN/nlp/word-embedding.ipynb )
58+ - [ N-Gram 模型] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter5_RNN/nlp/n-gram.ipynb )
59+ - [ Seq-LSTM 做词性预测] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter5_RNN/nlp/seq-lstm.ipynb )
6060
6161- Chapter 6: 生成对抗网络
6262 - 自动编码器
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