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## Course & Code
* [《统计学习方法》的代码](https://gitee.com/afishoutis/MachineLearning)

- Course
- [《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)
- [连接高校和企业 - 蓝桥云课](https://www.lanqiao.cn/)
- [Introduction — Neuromatch Academy: Deep Learning](https://deeplearning.neuromatch.io/tutorials/intro.html)
- code
- [《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)
- [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)
- PytTorch 训练手册 https://github.com/zergtant/pytorch-handbook

## Exercise
* http://sofasofa.io/competitions.php?type=practice
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* Titanic: notebooks/data-science-ipython-notebooks/kaggle/titanic.ipynb
* 使用神经网络解决拼图游戏 https://www.toutiao.com/a6855437347463365133/
* [Sudoku-Solver](https://github.com/shivaverma/Sudoku-Solver)
* Python 小项目 https://github.com/kyclark/tiny_python_projects


## Method


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