I’ve been diving a lot deeper into some interesting neural network papers recently and I’m looking to try and implement some of the models detailed in the papers. In general, I know that many papers include the code or I can just google the code to implement the model but I want to push myself to start implementing from scratch more.
Could anyone offer some tips on how they got started or gained the skills to be able to implement a model effectively within a few hours? Any advice would be much appreciated!
What do you do if you find a reference implementation? Just run it? Try to implement from scratch?
I tried to copy as much as possible from the paper, then fill in the blanks with how I would have solved it. I only had a partial solution but I still learnt heaps more than just reading the paper.