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Juergen Schmidhuber – författare

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3 produkter

  1. Roozbeh Razavi-Far, Ariel Ruiz-Garcia, Vasile Palade, Juergen Schmidhuber - Generative Adversarial Learning: Architectures and Applications, Inbunden. Tillgänglighet: Lägg i varukorg

    Generative Adversarial Learning: Architectures and Applications

    Architectures and Applications

    Av Roozbeh Razavi-Far, Ariel Ruiz-Garcia m. fl.

    Inbunden, 2022

    2000 kr

    Lägg i varukorg

    This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning …

  2. Juergen Schmidhuber, Vasile Palade, Ariel Ruiz-Garcia, Roozbeh Razavi-Far - Generative Adversarial Learning: Architectures and Applications, E-bok. Tillgänglighet: Lägg i varukorg

    Generative Adversarial Learning: Architectures and Applications

    Av Juergen Schmidhuber, Vasile Palade m. fl.

    E-bok, 2022

    2592 kr

    Lägg i varukorg

    This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning …

  3. Roozbeh Razavi-Far, Ariel Ruiz-Garcia, Vasile Palade, Juergen Schmidhuber - Generative Adversarial Learning: Architectures and Applications, Häftad. Tillgänglighet: Lägg i varukorg

    Generative Adversarial Learning: Architectures and Applications

    Av Roozbeh Razavi-Far, Ariel Ruiz-Garcia m. fl.

    Häftad, 2023

    2000 kr

    Lägg i varukorg

    This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning …