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本文是對作者@Daniel Martinez(https://twitter.com/danielmartinezf)在GitHub上的開源項目介紹，作者通過思維導(dǎo)圖對深度學(xué)習(xí)和機器學(xué)習(xí)中的一些重點和架構(gòu)進行了梳理。

深度學(xué)習(xí)

1. 概念

2. 架構(gòu)

3. Tensorflow庫

PDF版本下載地址

https://github.com/dformoso/deeplearning-mindmap/blob/master/Deep%20Learning.pdf

使用工具

MindNode軟件(Mac平臺)：https://mindnode.com

思維導(dǎo)圖參考資料(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.

機器學(xué)習(xí)思維導(dǎo)圖

1.過程

2.數(shù)據(jù)處理

3.數(shù)學(xué)基礎(chǔ)

4.概念

5.模型

PDF版本下載

https://github.com/dformoso/machine-learning-mindmap/blob/master/Machine%20Learning.pdf

使用工具

MindNode軟件(Mac平臺)：https://mindnode.com

思維導(dǎo)圖參考資料(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項目地址

• https://github.com/dformoso/deeplearning-mindmap
• https://github.com/dformoso/machine-learning-mindmap