SOLVE THIS AI TASK IN C$++$ To implement a Neural Network where you can:

Add hidden layers,

Control the number of neurons in these layers,

Train it using error backpropagation,

Select the activation function $($between sigmoid and hyperbolic tangent$),$

Solve the following Boolean functions with two input parameters:

AND

OR

XOR

Test the network with different parameters and compare the results. Draw conclusions.

Input:

Boolean function $($AND$,$ OR$,$ XOR, or ALL $-$ meaning all three$).$

Activation function $(0$ for sigmoid and $1$ for hyperbolic tangent$).$

Number of hidden layers.

Number of neurons for each hidden layer.

Output: For each combination of input values, output the result for the respective Boolean functions.

Example Input:

ALL $014$

Example Output:

AND: $(0,0)->0\mathrm{.}0199(0,1)->0\mathrm{.}0599(1,0)->0\mathrm{.}0379(1,1)->0\mathrm{.}9589$ OR: $(0,0)->0\mathrm{.}0122(0,1)->0\mathrm{.}9899(1,0)->0\mathrm{.}9382(1,1)->0\mathrm{.}9999$ XOR: $(0,0)->0\mathrm{.}0502(0,1)->0\mathrm{.}9999(1,0)->0\mathrm{.}9899(1,1)->0\mathrm{.}1000$