Multi$-$Layer NN:

Write python program to solve the problem below using seeds$\_$dataset.txt :

The seed kernels belonging to three different varieties of wheat:

Kama

Rosa

Canadian

The NN architecture should be as follows:

Layer$-1$: Input features

Layer$-2($First Hidden Layer$)$: $10$ hidden nodes

Layer$-3($Second Hidden Layer$)$: $14$ hidden nodes

Output layer:

Work to do:

You should use $80\%$ of the records for training and remaining records for testing.

For each of the independent features generate the scattered graphs $($x$,$ y plot$).$

Using scikit$-$learn package, show the confusion matrix of your multilayer NN model.