Thanks for the detailed answer.
In the course in ML I took they didn’t mentioned pool size or shrinking techniques. They did mention mini batches and other shirking methods for linear and logistic regression. Is this the equivalent for NN?
If we don’t define pool what will happen? It’s only for performances right? What is the motivation to shrink the data?