When I switched to data science, I built my digital garden, datumorphism. I deliberately designed this digital garden as my second brain. As a result, most of the articles are fragments of knowledge and require context to understand them.
Making bricks is easy but assembling them into a house is not easy. So I have decided to use this repository to practice my house-building techniques.
I do not have a finished blueprint yet. But I have a framework in my mind: I want to consolidate some of my thoughts and learnings in an organized way. However, I do not want to compile a reference book, as datumorphism already serves this purpose. I am thinking of an
This is an open-source project on GitHub: emptymalei/deep-learning.
How do I Write It¶
I am trying out a more "agile" method. Instead of finishing the whole project at once, I will release the book by chapter. A few thoughts on this plan:
- Each new section should be a PR.
- Release on every new section.
How do I track the Progress¶
I use GitHub Projects. Here is my board.