Using data in the table below, construct a Neural Network with one Output Layer $($z$)$ and one Hidden Layer $($A and B$).$

$$Calculate the predicted outcome if the inputs to the input nodes are $($x$=1,$ Node $1=\mathrm{.}4,$ Node $2=\mathrm{.}7$ Node $3=\mathrm{.}7$ and Node $4=\mathrm{.}2).$

$$Adjust the weight if the actual output is $0\mathrm{.}8500$

From To Weight

X A $0\mathrm{.}5$

Node $1$ A $0\mathrm{.}6$

Node $2$ A $0\mathrm{.}8$

Node $3$ A $0\mathrm{.}6$

Node $4$ A $0\mathrm{.}2$

x B $0\mathrm{.}7$

Node $1$ B $0\mathrm{.}9$

Node $2$ B $0\mathrm{.}8$

Node $3$ B $0\mathrm{.}4$

Node $4$ B $0\mathrm{.}2$

xx z $0\mathrm{.}5$

A z $0\mathrm{.}9$

B z $0\mathrm{.}9$

Data Dictionary

Attribute Description Target$/$Attribute

Heart$\_$Attack Type of Heart Attack $($Mild$,$ Light, Massive$)$ Target

RestHR Resting Heart Rate Attribute

MaxHR Maximum Heart Rate Attribute

RecHR Recovery Heart Rate Attribute

BP Blood Pressure Attribute

Data dependencies: NYNJ$\_$zipcode$\_$population.csv$,$ Heart$\_$attack.CSV