$17.$ What is the primary impact of using a smaller batch size in Mini$-$Batch Gradient Descent?

A$)$ It increases the convergence speed by updating parameters more frequently.

B$)$ It generally results in smoother and more stable updates.

C$)$ It may cause more fluctuations in the convergence path due to more frequent updates.

D$)$ It reduces the overall computational load by decreasing the number of updates.