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Seemed to take terrible performing models and marginally improve them. None of them are fit for purpose at the end of the training, so what was the point?
by QuantumG 3y ago
Seemed to take terrible performing models and marginally improve them. None of them are fit for purpose at the end of the training, so what was the point?
- nl 3y agoScience.
- nl 3y agoI'm outside my edit window but I'm surprised at the negative reaction to this. This experimental process on small NNs us exactly how science is done. You develop and test theories of what will work using small networks because you can do them quickly. Then you test on large, production size networks based on the lessons from the small ones.
- grandmczeb 3y agoProbably because one word replies come across as low effort. IMO your second reply is great.
- cypress66 3y agoIt had the right amount of effort that the parent question deserved.
- IOT_Apprentice 3y agoHow would anyone know if they did not posit an idea or theory and then implement it as a test? Publish results and it may spur others to tweak it or try other approaches.