Comment on The Future of Machine Learning: A New Breakthrough Technique (MLC)

A_A@lemmy.world ⁨1⁩ ⁨year⁩ ago

• TropicalDingdong@lemmy.world ⁨1⁩ ⁨year⁩ ago

  Traditional deep neural network’s training requires millions of example and so, despite its great success, is immensely inefficient.

  Is this a limited advancement in training techniques? Right now I’m working on several types of image classification models. How would this be able to help me?

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  • A_A@lemmy.world ⁨1⁩ ⁨year⁩ ago

    Sorry, I just read a lot… but I don’t work in this field.

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    • ripcord@kbin.social ⁨1⁩ ⁨year⁩ ago

      If you don't really understand it, why do you believe this is so big?

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      • QueriesQueried@sh.itjust.works ⁨1⁩ ⁨year⁩ ago

        Admittedly, they were quoting someone else in the message you responded to. That may have been edited after the fact, but the person they’re quoting did in fact say those words (“this is big”).

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      • A_A@lemmy.world ⁨1⁩ ⁨year⁩ ago

        I am not sure what “image classification models” incompasses. I would have to read more and understand and I don’t have enough time and energy.
        Yet in the past I have read and understand a few books about neural networks and this new article in nature is something else : it’s clear when reading it.

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    • TropicalDingdong@lemmy.world ⁨1⁩ ⁨year⁩ ago

      Based on your reading, swag?

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• registrert@lemmy.sambands.net ⁨1⁩ ⁨year⁩ ago

  It’s over for us useless eaters, no matter how useful one is we will always be useless compared to what’s coming.

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  • TropicalDingdong@lemmy.world ⁨1⁩ ⁨year⁩ ago

    It’s over for us useless eaters

    Look at this guy over here sucking up all that oxygen.

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  • A_A@lemmy.world ⁨1⁩ ⁨year⁩ ago

    There is still some hope ; maybe the machines will have more compassion than humans or maybe we are inside the matrix already as useful parts.
    There are so many unknowns in the future and our insights are so limited.

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• ExLisper@linux.community ⁨1⁩ ⁨year⁩ ago

  Now what if learning of these machines was as fast or faster than a human’s ?

  What do you mean? It’s already faster than human’s. I takes years for a person to learn basic language and decades to gain expert knowledge in any field.

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  • A_A@lemmy.world ⁨1⁩ ⁨year⁩ ago

    What is meant here (and said as such in the article) is that humans can learn from a single example while deep neural networks takes thousands or millions (of examples) to learn.

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    • ExLisper@linux.community ⁨1⁩ ⁨year⁩ ago

      Ok, but neural networks can process way more examples per second so ‘faster’ is not really the right term here.

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      • A_A@lemmy.world ⁨1⁩ ⁨year⁩ ago

        Yes you are right. And I was hoping for someone more knowledgeable to help clarify this topic.

        Well I was lucky with the comment of @DigitalMus in here, if you would like to read it.

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