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 ### 1.1 教程
 
-* [《动手学深度学习》 — 动手学深度学习 2.0.0-alpha2 documentation](https://zh-v2.d2l.ai/index.html)
+* [《动手学深度学习》- PyTorch版本](https://tangshusen.me/Dive-into-DL-PyTorch/#/)
 * [Introduction — Neuromatch Academy: Deep Learning](https://deeplearning.neuromatch.io/tutorials/intro.html)
 
 
 ### 1.2 代码
 
 * [《统计学习方法》的代码](https://gitee.com/afishoutis/MachineLearning)
-* [《统计学习方法》pytorch实现](https://github.com/fengdu78/lihang-code)
+* [《统计学习方法》PyTorch实现](https://github.com/fengdu78/lihang-code)
 *  [pytorch-cifar100](https://github.com/weiaicunzai/pytorch-cifar100)  实现ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet
 * [Attention:  xmu-xiaoma666/External-Attention-pytorch: Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐ (github.com)](https://github.com/xmu-xiaoma666/External-Attention-pytorch)   注意力机制，多层神经网络，重参数。
 * [Python  TheAlgorithms/Python: All Algorithms implemented in Python (github.com)](https://github.com/TheAlgorithms/Python)