"I spent a minute reviewing my nine years of compulsory education... and finally discovered I was deceived!
Can a human even solve this problem?
The ’Yuhua Stone’ who posted the question upstairs, please explain it using ’terminology’!"
"Obviously, solving the question directly is impossible for humans, so we need to introduce additional data.
For example, if a kitten likes you, there’s a b% chance it will cuddle with you, and a c% likelihood it will purr.
So, how do we know the probability that the kitten likes us? By using Bayes’ theorem, we can calculate it from the probabilities of belly flips, cuddles, and purring."
"..."
"Damn!"
Cat: "Stop calculating, I don’t like math!"
Cat: "It’s not about guessing who I like, it’s about guessing whether I’m dead or alive. Can’t I have a little privacy?"
"Tom, you talk about privacy in front of my Jerry? All those mice sacrificed for science won’t agree!"
"The first question stumped everyone? Keep going, the second one is even more twisted!"
"This seems to be a random forest problem, but it’s much more profound than the current random forest algorithms.
It’s generally used for marketing simulation modeling or predicting the risk and susceptibility of diseases, which is exactly what I’m researching."
"Hmm! Our school’s math community does have so talent, after all, soone finally understands the question."
"I’m ashad! I can only understand part of the problem; the other part is beyond my reach."
"How high is it?"
"As high as the Himalayas..."
"Hiss~ that terrifying?"
"If the first two questions are this difficult, then isn’t this third one going to break through the sky?"
"I need a big shot to help read the question."
"Copper sphere!"
"One hundred thousand tons of copper sphere!"
"One million tons of copper sphere!"
After queuing for quite so ti, soone finally stepped forward, still the ’Yuhua Stone’.
"I’m not quite sure, this seems to be an artificial neural network ANN handling large, complex machine learning tasks.
It describes a set of interconnected layers ford by nodes and edges with weights, known as neurons.
By training the neural network with input data, you learn the relationships between inputs and outputs. Between the input and output layers, several hidden layers can be inserted.
Its working principle is similar to the structure of the brain; a group of neurons are assigned random weights to determine how the neurons process the input data.
As for what I can understand in this question...
When data must be separated nonlinearly, feedforward neural networks decide how to choose the number of hidden layers formula...
And the particle swarm algorithm for random weights..."
"Hmm! What else?"
"..."
"Hehe! The thinker is taking his ti, huh."
"..."
"Hello? Yuhua Stone? Still there?"
"..."
"Maybe he went down to buy so stead buns?"
"Damn!"
"I hate two kinds of people,
one is those who only speak halfway."
"..."
"You’ve eventually beco what you hate the most..."
"Hey hey hey! Our prestigious Shuimu Academy, a gathering place for the national elite, and no one can even read the three questions properly?
Comrades, I’m deeply concerned about the academic prospects of our mathematics departnt!"
"I only knew that our basic disciplines were weak, but I didn’t expect them to be that weak. Is there no one competent?"
"Hey hey! That’s academic discrimination. This kind of problem just isn’t understandable by ordinary people. Many of the ’known’ formulas inside, even I, a PhD student in mathematics, have never seen.
The upper floor’s Yuhua Stone said it well.
This problem itself is problematic!"
"So, you’re saying only soone at a professor’s level could discuss how to solve it?"
"If the question is this tough, could the 10 million bounty ntioned above actually be real?"
"Vulgar, affairs of academia, how can you talk about money? Enough, I’m off to solve it."
"Ha! Out of syllabus to this extent, sure it’s not just a challenge?"
"Hmm! Maybe, what do you think... could it be those grandkids from Yanjing University next door?"
"Them? They shout about being number one in academics all day, but their level is just about the sa as ours; I don’t believe it!"
"That’s odd, then who exactly is this ’Open Source Emperor ng Changjun’? Could it be one of the heavyweights operating under an alias?"
"Eh! I heard recently there’s this Wei Yidong over there, known as God Wei, a young man who beca a teaching assistant professor, quite a legend.
Do you think ’Open Source Emperor ng Changjun’ could be him?"
"No way? I’ve t that guy, he’s strong but low-key, wouldn’t do such ostentatious things."
"Hmmm... then I have a bold idea!"
"Turning the stars, grafting wood?"
"Hiss! Tapeworm!"
"Too late, soone’s already done that! Over at the neighboring Weiming BBS, soone has already reposted it!"
"..."
...
At this mont, the real ’Yuhua Stone,’ a slovenly youth wearing glasses and an oversized shirt-shorts combo, was rushing to the laboratory with a stack of still-warm A4 papers in hand.
"Big Brother!"
"Eh? Big Brother, didn’t you say you were going to eat? Back so soon?"
"Ah, forget about eating, skipping one al won’t kill !"
He pushed past several younger siblings without caring about the astonished expressions of passers-by and jogged all the way into the laboratory!
"Elder Zheng! Elder Zheng!"
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