$(30$p$]$ h$($x$)$ g$(00+01*$xl $+02*$x$2)$ where the g$()$ is a logistic $($sigmoid$)$ activation function. The intial values of theparametcers are set to be $00==0\mathrm{.}5,01=1\mathrm{.}5$ and $02=-0\mathrm{.}7.$ The learning rate $($a$)$ was set to $0\mathrm{.}8.$ The cost function is givenas follows: show only the first two epochs and update the parameters $00,01,$ and $02$ in each epoch using the gradient,descent algorithm. Note that clearly indicates new values of es in cach epoch. In addition, you must compute the totallogistic regression loss at the end of cach epoch and clearly indicate the total loss in cach epoch, After completing twoepochs of training. use, use the final parameters Os and made predictions using the training input data to find the class label$(0$ or $1)$ of the correspoding input data using a threshold of $0\mathrm{.}35.$ Then, construct a confusion matrix using thepredictions and target labels to compute the Fl score. Confusion matrix must be also shown in you answer. Use fourdecimal places for all calculations $($e$.$g$.0\mathrm{.}1234).($Note that $10*-0\mathrm{.}00000001$ is added to prevent the In function not tobecome undefined$).$J$(0=$y$"$n$|$a$()+10(1-$y$")$la$|1-$h$("*10"))0\mathrm{.}80,2-1.$x$22\mathrm{.}11-0\mathrm{.}700\mathrm{.}510\mathrm{.}41\mathrm{.}10$