Create a python program to train a neural net using back-propagation to perform the XOR operation.

Input data each sample is stored in a row of a matrix, which is [0, 0] [0, 1] [1, 0] [1, 1]

Desired outputs each target is stored in a row of a matrix, which is [0.0] [0.99] [0.99] [0.0]

In this neural net, there is one hidden layer and one output layer. The nnOutput is to compute the output from the output layer

The desired output is 0

.0310489 [

[ 0.004588 ]

[0.968793 ]

[0.964671 ]

[0.052381 ]]