(Solved): Please detailed and relevant answer 6. Consider a single sigmoid threshold unit with three inputs, ...

6. Consider a single sigmoid threshold unit with three inputs, $x_1,x_2$, and $x_3$. $\mathrm{y}=\mathrm{g}\left({\mathrm{w}}_0+{\mathrm{w}}_1{x}_1+{\mathrm{w}}_2{x}_2+{\mathrm{w}}_3{\mathrm{x}}_3\right)\text{ where }g(z)=1/(1+\exp (-z))\text{. }$ The possible values of the inputs are either 0 or 1 . a) Assign values to the four weights so that the output of the sigmoid unit is greater than 0.5 if and only if $\left({\mathrm{x}}_1\mathrm{AND}{\mathrm{x}}_2\right)\mathrm{OR}{\mathrm{x}}_3$ holds. b) Find a sequence of training examples and apply stochastic gradient descent so that the network learns the desired function.