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Why do you think systems of partial differential equations (common in physics) are somehow provide more understanding than the corresponding ML math (at the end
by d0mine 2y ago
Why do you think systems of partial differential equations (common in physics) are somehow provide more understanding than the corresponding ML math (at the end of the day both can produce results using a lots of matrix multiplications).
- drdeca 2y ago... because people understand things about what is described when dealing with such systems in physics, and people don't understand how the weights in ML learned NNs produce the overall behavior? (For one thing, the number of parameters is much greater with the NNs)