I will tell you a tale,
Of a process so pale,
It's as if it were never there,
But it's there, I swear!

It's called gradient back propagation,
And it's used in deep learning,
To help find the best parameters,
For your neural network to be gleaning.

It works by taking the derivative,
Of the cost function with respect to the parameters,
And then using that to update the parameters,
In the direction that will minimize the cost.

It's a complex process,
But it's very powerful,
And it's helped to make deep learning,
So successful and ubiquitous.

So there you have it,
A brief overview of gradient back propagation,
A technique that is essential for deep learning,
And has helped to revolutionize the field of artificial intelligence.
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