Status: Archive (code is provided as-is, no updates expected)
It's easy to get started in deep learning, with many resources to learn the latest techniques. But it's harder to know what problems are worth working on.
This repository contains a living collection of important and fun problems to help new people enter the field, and for enthusiastic practitioners to hone their skills. Many will require inventing new ideas.
Also check out our new list: Requests for Research 2.0
Please write up the problem in a Gist or paper, and open a pull request linking it in a "solutions" section for the relevant problem. (Alternatively, let us know about it in community chat.)
The best solutions will contain both code and an explanation of your methodology. Please also feel free to report things you tried that didn't work, or anything else helpful to someone trying to learn how to do their own deep learning research.
We'll accept multiple solutions to each problem, so long as each solution is materially different.
This respository hosts the source for the requests for research. Feel free to open a pull request. Especially encouraged are:
- Suggestions for new problems
- Suggestions for improvements to existing problems
- Links to your solution.
Install or upgrade jekyll via gem install jekyll. You can run this
repo locally via:
jekyll serve -w
Your content will then be available at http://127.0.0.1:4000/. It
won't be styled, but that should be enough to get started.