In association analysis, an item set is

Suppose batch gradient descent in a deep network is taking excessively long to find a value of the parameters that achieves a small value for the cost function . Which of the following techniques could help find parameter values that attain a small value for J? (Check all that apply)  Try mini-batch gradient descent  Try initializing all…

Why is the best mini-batch size usually not 1 and not m, but instead something in between?  If the mini-batch size is 1, you end up having to process the entire training set before making any progress.  If the mini-batch size is m, you end up with stochastic gradient descent, which is usually slower than…