本文是对作者@Daniel Martinez(https://twitter.com/danielmartinezf)在GitHub上的开源项目介绍，作者通过思维导图对深度学习和机器学习中的一些重点和架构进行了梳理。
深度学习
1. 概念
2. 架构
3. Tensorflow库
PDF版本下载地址
https://github.com/dformoso/deeplearning-mindmap/blob/master/Deep%20Learning.pdf
使用工具
MindNode软件(Mac平台)：https://mindnode.com
思维导图参考资料(部分)
- Stanford and Oxford Lectures. CS20SI, CS224d.
- Books:
- Deep Learning - Goodfellow
- Pattern Recognition and Machine Learning - Bishop
- The Elements of Statistical Learning - Hastie.
- Colah's Blog. http://colah.github.io
- Kaggle Notebooks.
- Tensorflow Documentation pages.
- Google Cloud Data Engineer certification materials.
- Multiple Wikipedia articles.
机器学习思维导图
1.过程
2.数据处理
3.数学基础
4.概念
5.模型
PDF版本下载
https://github.com/dformoso/machine-learning-mindmap/blob/master/Machine%20Learning.pdf
使用工具
MindNode软件(Mac平台)：https://mindnode.com
思维导图参考资料(部分)
- Stanford and Oxford Lectures. CS20SI, CS224d.
- Books:
- Deep Learning - Goodfellow.
- Pattern Recognition and Machine Learning - Bishop.
- The Elements of Statistical Learning - Hastie.
- Colah's Blog. http://colah.github.io
- Kaggle Notebooks.
- Tensorflow Documentation pages.
- Google Cloud Data Engineer certification materials.
- Multiple Wikipedia articles.
GitHub项目地址
