Machine learningMachine learning

Samonadzirano učenje

Samonadzirano učenje (SSL) je paradigma strojnog učenja koja generira vlastiti nadzorni signal izravno iz neoznačenih podataka definiranjem pomoćnog pretekstualnog zadatka — kao što je predviđanje maskiranih riječi, rotiranje slika ili uspoređivanje augmentiranih prikaza — i koristi naučene reprezentacije kao snažnu početnu točku za naknadne zadatke s minimalnim brojem označenih primjera.

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The neighbourhood of related methods — select a node to explore.

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Izvori

  1. LeCun, Y. & Misra, I. (2022). Self-supervised learning: The dark matter of intelligence. Meta AI Blog. https://ai.facebook.com/blog/self-supervised-learning-the-dark-matter-of-intelligence/ link
  2. Self-supervised learning. Wikipedia. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Self-supervised Learning (Pretext-task Representation Learning). ScholarGate. https://scholargate.app/hr/machine-learning/self-supervised-learning

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Citirana u

ScholarGateSelf-supervised Learning (Self-supervised Learning (Pretext-task Representation Learning)). Preuzeto 2026-06-15 s https://scholargate.app/hr/machine-learning/self-supervised-learning · Skup podataka: https://doi.org/10.5281/zenodo.20539026