Create a feed-forward neural network structure for inclusive OR.

GMAT	GPA	Quantitative GMAT	Decision
650	2.75	35	NO	Training Dataset
580	3.50	70	NO
600	3.50	75	YES
450	2.95	80	NO
700	3.25	90	YES
590	3.50	80	YES
400	3.85	45	NO
640	3.50	75	YES
540	3.00	60	?	Test Dataset
690	2.85	80	?
490	4.00	65	?

Here is an example:

Observe and learn other characteristics of a typical feed-forward neural network from below given example data set and feed-forward neural network model for inclusive OR. feed-forward nural X1 X2 Output 0 10 W111 W211 X1 W121 W221 W311 W112 W212 W321 W122 W222 Input Layer Hidden Layer Output Layer Observe and learn other characteristics of a typical feed-forward neural network from below given example data set and feed-forward neural network model for inclusive OR. feed-forward nural X1 X2 Output 0 10 W111 W211 X1 W121 W221 W311 W112 W212 W321 W122 W222 Input Layer Hidden Layer Output Layer