I believe that a system with significantly more neurons will outperform one
with fewer.  Yes, clustering of neurons in certain regions is going to
result in better performance.
Given a limited number (10^8) of neurons, would a model with 5 layers be
able to detect and identify patterns better than one with just four?  Is
there some sort of optimal advantage [pattern search space] with just 4
layers?

Reply via email to