@@ -20,13 +20,13 @@ Learn Deep Learning with PyTorch
2020 - [ Tensor和Variable] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter2_PyTorch-Basics/Tensor-and-Variable.ipynb )
2121 - [ 自动求导机制] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter2_PyTorch-Basics/autograd.ipynb )
2222 - [ 动态图与静态图] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter2_PyTorch-Basics/dynamic-graph.ipynb )
23- - 数据的读取
2423
2524
2625- Chapter 3: 神经网络
2726 - [ 线性模型与梯度下降] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/linear-regression-gradient-descend.ipynb )
2827 - [ Logistic 回归与优化器] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/logistic-regression/logistic-regression.ipynb )
2928 - [ 多层神经网络,Sequential 和 Module] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/nn-sequential-module.ipynb )
29+ - [ 深度神经网络] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/deep-cnn.ipynb )
3030 - [ 参数初始化方法] ( https://github.com/SherlockLiao/code-of-learn-deep-learning-with-pytorch/blob/master/chapter3_NN/param_initialize.ipynb )
3131 - 优化算法
3232
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