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hjmb t1_irzxltz wrote

No - layers in neural networks are often a linear map followed by component-wise non-linear maps. The resulting operation is non-linear.

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hjmb t1_irzxtrk wrote

Note that without the non-linear part each layer would just be a single linear map. The composition of multiple layers would then be a linear map again, so there would be no need for multiple layers in a model.

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huehue12132 t1_irzzwkl wrote

There are many ML models that are not neural networks.

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hjmb t1_is08irx wrote

Absolutely, but this was the clearest counter-example I could think of.

A Bayesian-updated linear regression system will indeed give you a linear inference step and count as ML in my opinion.

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huehue12132 t1_is2r76e wrote

You're right, of course. I think I just misunderstood what you were getting at with your answer when I made that comment.

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IMJorose t1_is0km6y wrote

Is this a homework question?

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igaloly t1_is1m3r7 wrote

  1. Why is it matter?
  2. No, just curiosity
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IMJorose t1_is1yhux wrote

It matters, because this sub isn't to answer homework questions.

I asked, because the way you asked somehow gave me the exact vibes I get when my students ask me questions when they are trying to get me to solve the problem for them.

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