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https://github.com/ahangchen/GDLnotes

Google Deep Learning Notes（TensorFlow教程）
https://github.com/ahangchen/GDLnotes

deep-learning machine-learning tensorflow

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Google Deep Learning Notes（TensorFlow教程）

Host: GitHub
URL: https://github.com/ahangchen/GDLnotes
Owner: ahangchen
License: other
Created: 2016-05-08T07:45:57.000Z (over 8 years ago)
Default Branch: master
Last Pushed: 2022-11-01T05:05:57.000Z (about 2 years ago)
Last Synced: 2024-11-11T01:42:36.859Z (2 months ago)
Topics: deep-learning, machine-learning, tensorflow
Language: Python
Homepage:
Size: 10.2 MB
Stars: 1,492
Watchers: 150
Forks: 479
Open Issues: 8
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        # Google Deep Learning Notes

![CC-BY-NC-ND](http://opentf.github.io/GuokrBadge/cc/gs/cc_byncnd.flat.guokr.32.svg)

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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