SKU: 16937978330

Goldhund Hundepullover CosyShirt light Strick Grau

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Description

Goldhund Hundepullover CosyShirt light Strick GrauDas Hundeshirt "CosyShirt light Strick" von Goldhund dient deinem Hund als atmungsaktiver bergangspulli. Er ist doppellagig, aus kuschelig weichem Strick gefertigt und kommt komplett ohne Verschlsse aus, so dass nichts drcken kann. Die optimale Passform, durch die sich dein Hund uneingeschrnkt bewegen kann, ist einzigartig. Zustzlich knnen der Halsausschnitt und die Rckenlnge, mit jeweils einem Tunnelzug individuell eingestellt werden. Die Rckenlnge

Das Hundeshirt "CosyShirt light Strick" von Goldhund dient deinem Hund als atmungsaktiver Übergangspulli. Er ist doppellagig, aus kuschelig weichem Strick gefertigt und kommt komplett ohne Verschlüsse aus, so dass nichts drücken kann.

Die optimale Passform, durch die sich dein Hund uneingeschränkt bewegen kann, ist einzigartig. Zusätzlich können der Halsausschnitt und die Rückenlänge, mit jeweils einem Tunnelzug individuell eingestellt werden. Die Rückenlänge kann um bis zu 5 cm verkürzt werden. 

Das Goldhund CosyShirt light wird über den Kopf des Hundes an- und ausgezogen. 

    • Hundeshirt ohne Verschlüsse
    • cosyShirt light Strick
    • Viskosegemisch
    • Handwäsche
    • Handgefertigt in Düsseldorf
    • Farbe: Grau

    Fotos: Goldhund

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    SKU: 16937978330

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    4.4 ★★★★★
    Based on 18 reviews
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    TheTechGuyz
    Omaha, US
    ★★★★★ 5
    A good book for Cyber Professionals
    Format: Paperback
    A very good book, I absolutely love how it gives security professionals much needed AI security insights.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on January 16, 2026
    S
    Verified Purchase
    Steve Wilson
    Carnegie, US
    ★★★★★ 5
    In-depth and highly technical!
    Format: Paperback
    "Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security. This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation. One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered. If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on August 12, 2024
    N
    Verified Purchase
    Niti Sharma
    Houston, US
    ★★★★★ 4
    Good and thorough!
    Format: Paperback
    I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on May 9, 2026
    C
    Verified Purchase
    Catalina J.
    Phoenix, US
    ★★★★★ 5
    Amazing book
    Format: Paperback
    Excelent product
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on November 4, 2025
    B
    Verified Purchase
    Brian
    Omaha, US
    ★★★★★ 5
    solid read with walk through
    Format: Paperback
    There is limited material on this topic and I am about 4 chapters in and I have enjoyed the walkthrough on setting up a lab as the background... will update as I continue through the book.
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    Reviewed in the United States on October 18, 2024

    recommand products