June 9, 2022, 9:01 a.m. | /u/Algo-G-H

Neural Networks, Deep Learning and Machine Learning www.reddit.com

I am currently building several ANNs to approximate lengthy PDE calculations.

I am curious as to how one can minimise the speed of prediction when it comes to hyperparameter optimization. Is it best to minimise the number of weight parameters in the model? (I know this benefits storage) or is it best to minimise the number of layers?

Any help would be appreciated, cheers!

anns impacts neuralnetworks prediction

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