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    Home»Machine Learning»Metaphorizing Neural Networks. Metaphorically explaining Neural… | by Alejandro Garnung | Feb, 2025
    Machine Learning

    Metaphorizing Neural Networks. Metaphorically explaining Neural… | by Alejandro Garnung | Feb, 2025

    FinanceStarGateBy FinanceStarGateFebruary 8, 2025No Comments4 Mins Read
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    Persuade your self, good friend, should you’re studying this, you’re going to have to clarify this (if it’s not too late) to somebody who has no concept what the reply is. I’ll attempt to write what I’d say; in reality, this serves as preparation for the scenario. And let’s be sincere, proper now I really feel sort of bored.

    Think about you’re in your second 12 months of college, attending a Calculus II class on double integrals. You’ve been assigned a very sophisticated job about parameterizing a quantity of revolution that you simply don’t know easy methods to method, so that you begin asking your classmates for his or her opinions on how they’d method it: your classmate, who is aware of lower than you, says one thing that is unnecessary, so that you’re caught; the repeat pupil acts all good and also you’ve seen he was saying nonsense; the good pupil of the category tells you to make use of one thing known as “Jacobian in cylindrical coordinates,” so that you write it down… After questioning your 15 classmates, you collect what appears to be good concepts in your notes and request a tutoring session with the professor. The following day, in his workplace, he all of the sudden grabs the pocket book and rips your paper in half to choose the one factor price mentioning out of your 32 notes. Why? As a result of 16 college students have already requested him for a similar tutoring!

    What we simply recreated is a really dangerous metaphor of what a neural community is and the way it works. Let’s attempt once more:

    Think about you’re a chef making an attempt to enhance a pasta recipe. You recognize that the fundamental factor is making a very good sauce, however you’re unsure what spices to make use of to make it style the very best. So that you determine to experiment with totally different combos of spices. You will have quite a lot of substances, and at first, you don’t know what’s going to work. However after making an attempt a number of occasions, you understand that, for instance, a touch of basil works wonders, and black pepper brings out the flavour simply the way in which you want it. With every try, you be taught what mixture has the largest impression on the ultimate taste. So that you modify your substances and preserve enhancing your recipe!

    This can be a barely higher metaphor (at the very least clearer) as a result of we’ve realized from the errors we made when explaining it the primary time (bear in mind Feynman!). Let’s attempt once more; I promise (written a posteriori) that this would be the final iteration…

    Think about that you simply’re a detective fixing a thriller. You will have a lot of clues, however you don’t know in the event that they’re related. At first, a few of them don’t appear to make sense, and others lead you down the unsuitable paths. However as you go on, you be taught to determine which clues are extra vital and the way they join with one another. Every clue offers you a small a part of the answer, and little by little, you piece the puzzle collectively. In the long run, you will have every part solved and the thriller utterly clear!

    Okay, this metaphor now completes every part. At this level I’m certain you perceive what a neural community is with out the necessity to even point out technical phrases (not a single one) like bias, weight, neocognitron, perceptron, hidden layer, dense layer, backpropagation, and so forth… Nonetheless not clear? Alright, then verify this out and clarify the joke bridge the narrative to technical ideas. Within the subsequent part we will definitely clarify how a neural community works by means of our metaphors.



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