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#perceptrons — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #perceptrons, aggregated by home.social.

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  1. Transformer for Partial Differential Equations’ Operator Learning

    Zijie Li, Kazem Meidani, Amir Barati Farimani

    Action editor: Tie-Yan Liu.

    openreview.net/forum?id=EPPqt3

    #attention #perceptrons #convolutional

  2. Transformer for Partial Differential Equations’ Operator Learning

    Zijie Li, Kazem Meidani, Amir Barati Farimani

    Action editor: Tie-Yan Liu.

    openreview.net/forum?id=EPPqt3

    #attention #perceptrons #convolutional

  3. Transformer for Partial Differential Equations’ Operator Learning

    Zijie Li, Kazem Meidani, Amir Barati Farimani

    Action editor: Tie-Yan Liu.

    openreview.net/forum?id=EPPqt3

    #attention #perceptrons #convolutional

  4. Transformer for Partial Differential Equations’ Operator Learning

    Zijie Li, Kazem Meidani, Amir Barati Farimani

    Action editor: Tie-Yan Liu.

    openreview.net/forum?id=EPPqt3

    #attention #perceptrons #convolutional

  5. Transformer for Partial Differential Equations’ Operator Learning

    Zijie Li, Kazem Meidani, Amir Barati Farimani

    Action editor: Tie-Yan Liu.

    openreview.net/forum?id=EPPqt3

    #attention #perceptrons #convolutional

  6. Modern researchers and practitioners of #NeuralNetworks should read the classic book "#Perceptrons: An Introduction to Computational Geometry" (1969) by Minsky and Papert, because every proponent should know the main arguments of the detractors.
    en.wikipedia.org/wiki/Perceptr

  7. Modern researchers and practitioners of #NeuralNetworks should read the classic book "#Perceptrons: An Introduction to Computational Geometry" (1969) by Minsky and Papert, because every proponent should know the main arguments of the detractors.
    en.wikipedia.org/wiki/Perceptr

  8. Modern researchers and practitioners of #NeuralNetworks should read the classic book "#Perceptrons: An Introduction to Computational Geometry" (1969) by Minsky and Papert, because every proponent should know the main arguments of the detractors.
    en.wikipedia.org/wiki/Perceptr

  9. “We’re not on the brink of major technological development here. We’re in the middle of some fiddling at the edges of what came before… Just like the algorithms, we’re stuck repeating the aesthetics…” —Caleb Gamman in “Algorithms”

    youtu.be/MravA_dgUkQ

    #AI #algorithms #algorithm #ArtificialIntelligence #perceptrons #NeuralNetworks #NeuralNetworks #AIWinter #Tesla

  10. “We’re not on the brink of major technological development here. We’re in the middle of some fiddling at the edges of what came before… Just like the algorithms, we’re stuck repeating the aesthetics…” —Caleb Gamman in “Algorithms”

    youtu.be/MravA_dgUkQ

    #AI #algorithms #algorithm #ArtificialIntelligence #perceptrons #NeuralNetworks #NeuralNetworks #AIWinter #Tesla

  11. “We’re not on the brink of major technological development here. We’re in the middle of some fiddling at the edges of what came before… Just like the algorithms, we’re stuck repeating the aesthetics…” —Caleb Gamman in “Algorithms”

    youtu.be/MravA_dgUkQ

    #AI #algorithms #algorithm #ArtificialIntelligence #perceptrons #NeuralNetworks #NeuralNetworks #AIWinter #Tesla

  12. “We’re not on the brink of major technological development here. We’re in the middle of some fiddling at the edges of what came before… Just like the algorithms, we’re stuck repeating the aesthetics…” —Caleb Gamman in “Algorithms”

    youtu.be/MravA_dgUkQ

    #AI #algorithms #algorithm #ArtificialIntelligence #perceptrons #NeuralNetworks #NeuralNetworks #AIWinter #Tesla