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Google Deep Learning Notes（TensorFlow教程）
| Date | Stars |
|---|---|
| 2026-07-24 | 1490 |
| 2026-07-25 | 1490 |
| 2026-07-28 | 1490 |
| 2026-07-30 | 1490 |
| 2026-07-31 | 1490 |
| 2026-08-06 | 1490 |
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# Google Deep Learning Notes
一点小建议：框架是工具，工具固然重要，要在机器学习与人工智能领域取得成就，必须打好[基础](https://github.com/ahangchen/windy-afternoon/tree/master/ml/melon)，多看[论文](https://github.com/ahangchen/windy-afternoon/tree/master/ml/papers)，多做[实验](https://github.com/ahangchen/keras-dogs)，缺一不可。
- Google 深度学习笔记
- Github工程地址：https://github.com/ahangchen/GDLnotes
- 欢迎star，有问题可以到[Issue区](https://github.com/ahangchen/GDLnotes/issues)讨论
- 官方教程[地址](https://classroom.udacity.com/courses/ud730/lessons/6370362152/concepts/63798118170923)
- [视频](http://d2uz2655q5g6b2.cloudfront.net/6370362152/L1%20Machine%20Learning%20to%20Deep%20Learning%20Videos.zip)/[字幕](http://d2uz2655q5g6b2.cloudfront.net/6370362152/L1%20Machine%20Learning%20to%20Deep%20Learning%20Subtitles.zip)下载
> 教程已重构兼容TensorFlow 1.2
框架： TensorFlow （[安装踩坑日志](https://github.com/ahangchen/GDLnotes/tree/master/note/tensorflow/install.md)）
> 谷歌家的深度学习框架，有Python,C++的API
工具：Pycharm
笔记列表
- Lesson 1 [Machine Learning to Deep Learning](note/lesson-1/README.md)
- [Logistic Classification](note/lesson-1/logistic_classify.md)
- [Logistic Classification实践](note/lesson-1/practical.md)
- [Stochastic Optimization](note/lesson-1/Stochastic_Optimization.md)
- Lesson 2 [Deep Neural Network](note/lesson-2/README.md)
- [Limit of Linear Model](note/lesson-2/limit_linear.md)
- [Neural network](note/lesson-2/neural_network.md)
- [神经网络实践](note/lesson-2/neural_practical.md)
- 优化神经网络：[Deep Network](note/lesson-2/deep_network.md)
- [深度神经网络实践](note/lesson-2/deep_network_practice.md)
- Lesson 3 [Convolutional Networks](note/lesson-3/README.md)
- [卷积神经网络实践](note/lesson-3/practice.md)
- Lessson 4 [Deep Models for Text and Sequence](note/lesson-4/README.md)
- Challenge
- Model
- Sequence
- [循环神经网络实践](note/lesson-4/rnn_practice.md)
附录：
- [NumPy笔记](note/numpy/README.md)（待完善）
- [matplotlib笔记](note/matplotlib/README.md)（待完善）
- [sklearn笔记](note/sklearn/README.md)（待完善）
- [TensorFlow笔记](note/tensorflow/README.md)
整理了周志华老师西瓜书中的[概念](https://github.com/ahangchen/windy-afternoon/blob/master/ml/melon_concepts.md)，基础是非常重要的一环，感兴趣的同学可以看看。
> 觉得我的文章对您有帮助的话，就给个[star](https://github.com/ahangchen/GDLnotes)吧～
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