Google 深度学习笔记

Google Deep Learning Notes

Google 深度学习笔记

由于谷歌机器学习教程更新太慢，所以一边学习Deep Learning教程，经常总结是个好习惯，笔记目录奉上。

• Github工程地址：https://github.com/ahangchen/GDLnotes
• 欢迎star，有问题可以到Issue区讨论
• 官方教程地址
• 视频/字幕下载

框架： TensorFlow

谷歌出品的基于Python的深度学习工具集

工具：Ipython, Pycharm

笔记列表
- Lesson 1 Machine Learning to Deep Learning

> train your first simple model entirely end to end

- [Logistic Classification](https://github.com/ahangchen/GDLnotes/blob/master/note/lesson-1/logistic_classify.md)
- Stochastic Optimization
- Data & Parameter tuning

> general data practices to train models

- Lesson 2 Deep Neural Network
- Deep Networks

> train your first deep network

- Regularization

> Train even bigger models

- Lesson 3 Convolutional Networks

> deep dive into images and convolutional models

• Lessson 4 Deep Models for Text and Sequence
  
  • Embeddings
  • Recurrent Models

附录：
- NumPy笔记（待完善）
- matplotlib笔记（待完善）

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