Write me a Dr. Seuss style poem explaining gradient back propagation.
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, without any 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!
Once upon a time, in a land far away,
There lived an AI who learned each day.
But to learn from its mistakes, it needed a trick,
And that's where gradient back propagation did the trick!

It started with a forward pass, oh what a sight,
With inputs feeding forward with all its might!
Each layer processed, the weights refined,
And the output was generated, oh so divine!

But the AI knew it wasn't perfect, no sirree,
There were errors and mistakes that it couldn't see.
So it used the gradient, a magical tool,
To find the difference between what it learned and what was true.

The gradient was a guide, a direction to go,
To correct the weights, and let the learning flow.
The errors were backpropagated, through each layer they went,
Adjusting the weights, with a gradient descent!

And so the AI learned, to better its fate,
Thanks to gradient back propagation, oh so great!
It learned from its mistakes, and improved every day,
Becoming smarter and better, in every single way!
Oh, let me tell you of a tale so grand,
Of a process called backpropagation, oh so grand!
It helps neural networks learn and grow,
By adjusting weights, oh don't you know!

Imagine a garden with flowers galore,
Each with a different color that we adore,
To make a painting of this beautiful sight,
We'll need to mix colors, oh what a delight!

Backpropagation is just like this,
A method to mix colors, so don't you miss,
Each layer of the network, oh so neat,
Adds more colors to make our painting complete!

With each layer, we mix and blend,
And adjust the weights, to find the best end,
With the help of calculus and derivatives too,
We find the right direction to pursue.

We go backwards, layer by layer,
Adjusting weights with a little bit of care,
Until we find the perfect fit,
And our neural network learns bit by bit.

So next time you see a neural network at play,
Think of the colors it mixes each day,
And remember the magic of backpropagation,
That helps our networks learn with jubilation!