Q$8.(1$ point$)$ Consider training a neural network that has a single output using $3$ training samples. The

table below shows the computed $\frac{\text{d}\text{e}\text{l}\text{d}\text{i}\text{v}}{\text{d}\text{e}\text{l}\text{w}}$ for each of the input samples.

Assuming that $w=1,=1,$ and we are using Stochastic Gradient Descent algorithms that

updates the weights at each training sample. Then the updated value for $w$ after the training sample

is

A$.1$

D$.1\mathrm{.}1$

B$.0\mathrm{.}6$

E$.0\mathrm{.}9$

C$.1\mathrm{.}4$