$N_r=(\frac{D}{D_i}+1{)}^{D_i(K-1)}*{\displaystyle \underset{j=0}{\overset{D_i}{}}}(\frac{D}{j})$

Problem $4\mathrm{.}11*$ Consider two neural networks that map a scalar input $x$ to a scalar output $y.$ The first network is shallow and has $D=95$ hidden units. The second is deep and has $K=10$ layers, each containing $D=5$ hidden units. How many parameters does each network have? How many linear regions can each network make $($see equation $4\mathrm{.}17)?$ Which would run faster?