how to decide how many layers and how many neurons/units per layer should we have to build a neural network?
There are techniques which search on how many layers and neurons per layer should you place within some given range, the
Machine Learning Engineering for Production (MLOps)
(https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops), I think course 3 there guides to some techniques, you may check it out.
Sometimes hunch or previous similar use cases are a starting point with modifications that you make as you compare your models performance metrics.
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