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[Discussion] Tips on getting started implementing ML papers in code? (alien.top)

submitted 11 months ago by ExitWest7@alien.top to c/machinelearning@academy.garden

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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!

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[–] Nique_Eau@alien.top 1 points 11 months ago

i found it helpful to read related papers and code, break down the model into smaller components, and slowly build it up. sometimes you just gotta experiment and fill in the gaps as you go.