I am so glad you liked it,
my sincere apologies for the mistake.
I will attempt to remedy this below:

In the land of AI, where neural nets reign,
There was a method called backpropagation, quite insane!

It started with a guess, a wild prediction,
A neural net output, without restriction.

But the guess was wrong, oh what a shame,
So backpropagation came to the game!

It sent an error back through the net,
To adjust each weight, a change to set.

The gradient was computed, with great precision,
To tweak the weights, in a new decision.

This process was repeated, layer by layer,
Until the output was right, with minimal error.

And thus backpropagation, with its magic spell,
Helped the neural net learn, oh so well!

It found the patterns, it found the rules,
And made predictions, like wise old owls.

So now you know, how backpropagation works,
It's the secret sauce, that makes the neural net lurk.

It learns from data, it learns from mistakes,
And with each iteration, it gets smarter, for goodness sakes!

So let's give a cheer, for gradient backpropagation,
For making neural nets, a true sensation!
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