Without using the training rules, calculate the weights of a neural

network in such a way that the output of the nerves is compared to the input data,

which are shown by square, rhombus, circle, and triangle shapes, respectively.

$\mathrm{.}1][1]$ and $[11]$ are$[$

Grid inputs are coordinates of points.

Determine the network structure yourself.

$.$ Let's assume that the nerve activity function is sign.

Write a program in Python language that creates $100$ random points inside the square

shown in the opposite figure, then apply the coordinates of these points to the designed

network and get the output of the network for each input. based on

Outputs Draw a graph with the following conditions.

If the network output is $[11],$ put a square instead of that point.

If the network output is $[11],$ place a rhombus instead of that point.

If the network output is $[11],$ place a circle instead of that point.

If the network output is $11,$ place a triangle instead of that point.