You run gradient descent for $15$ iterations with $=0\mathrm{.}3$ and compute w decrease after each iteration. You find that the value of w decrease slowly and is still decreasing after $15$ iterations. Based on this, which of the following conclusions seems most possible?Rather than the current value of $,$ itd be more promising to try a smaller value of $($say $=0\mathrm{.}1)$Rather than use the current value of $,$ itd be more promising to try a large value of $($say $=1\mathrm{.}0)=0\mathrm{.}3$ is an effective choice of learning rate