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JPDev@programming.dev to Programmer Humor@programming.dev · 1 year ago

Machine Learning

programming.dev

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Machine Learning

programming.dev

JPDev@programming.dev to Programmer Humor@programming.dev · 1 year ago
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  • marcos@lemmy.world
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    1 year ago

    Your neural network just learned to flawlessly answer any question you send it! Time to put it to good use!

    Start asking the important questions!

    • kernelle@0d.gs
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      1 year ago

  • GissaMittJobb@lemmy.ml
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    1 year ago

    Is this overfitting?

    • marcos@lemmy.world
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      1 year ago

      No, this is because the testing set can be derived from the training set.

      Overfitting alone can’t get you to 1.

      • Victor@lemmy.world
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        1 year ago

        So as an eli5, that’s basically that you have to “ask” it stuff it has never heard before? AI has come after my time in higher education.

        • marcos@lemmy.world
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          1 year ago

          Yes.

          You train it on some data, and ask it about different data. Otherwise it just hard-codes the answers.

          • Morphit @feddit.uk
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            1 year ago

            They’re just like us.

          • Victor@lemmy.world
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            1 year ago

            Gotcha, thank you!

        • ArtVandelay@lemmy.world
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          1 year ago

          Yes, it’s called a train test split, and is often 80/20 or there about

      • sevenapples@lemmygrad.ml
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        1 year ago

        It can if you don’t do a train-test split.

        But even if you consider the training set only, having zero loss is definitely a bad sign.

      • GissaMittJobb@lemmy.ml
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        1 year ago

        Gotcha!

  • gerryflap@feddit.nl
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    1 year ago

    I like how specifically this relates to my experience with the discount factor gamma in Reinforcement Learning. Like, pretty close to the exact numbers (though missing 0.99 and 0.999)

  • Ragdoll X@lemmy.world
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    1 year ago

    Have you tried some data augmentation?

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