SKU: 29080179856
miura sonnensegel

miura sonnensegel PALA

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Description

miura sonnensegel PALAMERKMALE & SPEZIFIKATIONEN: Multifunktionales Sonnensegel mit Aufstellstangen Idealer Schattenspender Sehr schneller Aufbau PFC frei Vielseitig einsetzbar: ber einem Zelt als zustzliches Dach vor einem Zelt als zustzlicher Aufenthaltsraum ber einem Sandkasten ber einer Sonnenliege etc. MAE & GEWICHT: ca. 448 x 292 x (H)200 cm ca. 2,55 kg TECHNISCHE DETAILS: Farbe: Bernstein Blau Material: recyceltes Polyester mit Musterprgung Beschichtung: PU

MERKMALE & SPEZIFIKATIONEN: 

  • Multifunktionales Sonnensegel mit Aufstellstangen
  • Idealer Schattenspender
  • Sehr schneller Aufbau
  • PFC-frei
  • Vielseitig einsetzbar:
  •    über einem Zelt als zusätzliches Dach
  •    vor einem Zelt als zusätzlicher Aufenthaltsraum
  •    über einem Sandkasten
  •    über einer Sonnenliege
  •    etc.

     

    MAßE & GEWICHT:

    ca. 448 x 292 x (H)200 cm

    ca. 2,55 kg

     

    TECHNISCHE DETAILS:

     

    Farbe: Bernstein / Blau
    Material: recyceltes Polyester mit Musterprägung
    Beschichtung: PU
    Aufstellstangen: Stahl
    Heringe: Stahl
    Abspanngurte: Polyester
       
    Packsack: recyceltes Oxford Polyester
    Maße: ca. 448 x 292 x 200 cm


    Gewicht: ca. 2,55 kg
    Wassersäule:
    2.000 mm


     

    LIEFERUMFANG:

    Sonnensegel, Abspannmaterial, Aufstellstangen, Tragetasche, Aufbauanleitung, Heringe

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    SKU: 29080179856

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    MrGee
    Fort Morgan, US
    ★★★★★ 5
    An enjoyable, and seriously excellent, path to understanding Deep Learning...
    Format: Paperback
    Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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    Reviewed in the United States on August 5, 2021
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    R. Cote
    Battle Creek, US
    ★★★★★ 5
    Before GPT can chat, it has to learn.
    Format: Paperback
    One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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    Reviewed in the United States on April 5, 2025
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    Rafael Azevedo Souza Costa
    New York, US
    ★★★★★ 5
    Great examples and practical explanations
    Format: Paperback
    Excellent book. Highly recommend
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    Reviewed in the United States on May 19, 2025
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    Thomas
    Lowell, US
    ★★★★★ 5
    Great for intuitive understanding
    Format: Paperback
    Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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    Reviewed in the United States on May 4, 2024
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    La Monte HP Yarroll
    Omaha, US
    ★★★★★ 5
    Taught me backpropagation
    Format: Paperback
    I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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    Reviewed in the United States on April 13, 2025

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