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Are there any good reference (blogs, github profiles, forums) for highlighting current hot papers, their implementation or explaining the mechanics?
by thisisit 9y ago
Are there any good reference (blogs, github profiles, forums) for highlighting current hot papers, their implementation or explaining the mechanics?
- eastWestMath 9y agoYou'd probably need to spend a few years learning the basics first...
- thisisit 9y agoAgreed. Sometimes imitation is the best way to learn. So if there are some great resources for source codes being derived from papers, it will help people how to read papers and create code out of it.
- eastWestMath 9y agoI mean, you probably need to look at a few textbooks before you'll make any sense of papers.
- gfredtech 9y agocheck out Stanford Scholar[1], they create talks on hot research papers(not only ML/AI) and then try to explain the papers the intuition and technicalities of the paper, most of the talks are translated to other languages as well [1]: https://scholar.stanford.edu https://scholar.stanford.edu