SKU: 87255976438

Maxton Design Frontlippe / Frontsplitter V.1 für Hyundai Tucson NX4

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Description

Maxton Design Frontlippe / Frontsplitter V.1 für Hyundai Tucson NX4Front Lippe Front Splitter Frontansatz V. 1 fr Hyundai Tucson NX4 von Maxton Design passend fr: Hyundai Tucson NX4 ab 2020 Lieferumfang: Maxton Design Front Lippe Frontansatz fr Hyundai Tucson NX4 Montage Kit Montageanleitung Teilegutachten Farbe: Hochglanz Schwarz Der Front Splitter senkt die Frontstostange optisch (je nach Modell) um 3 5cm und verbessert die Aerodynamik des Fahrzeugs. Wir verschicken den Frontansatz gut verpackt, montagebereit in

Front Lippe / Front Splitter / Frontansatz V.1 für Hyundai Tucson NX4 von Maxton Design


passend für:

  • Hyundai Tucson NX4 ab 2020 -

Lieferumfang:

  • Maxton Design Front Lippe / Frontansatz für Hyundai Tucson NX4
  • Montage-Kit
  • Montageanleitung
  • Teilegutachten


Farbe:

  • Hochglanz Schwarz


Der Front Splitter senkt die Frontstoßstange optisch (je nach Modell) um 3-5cm und verbessert die Aerodynamik des Fahrzeugs. Wir verschicken den Frontansatz gut verpackt, montagebereit in Hochglanz Schwarz bzw. alle Artikel der Kollektion Street Pro oder Racing in Schwarz. Die Montage erfolgt mit den mitgelieferten Schrauben am Fahrzeug.

Das Produkt ist aus ABS-Kunststoff und zeichnet sich durch eine erhöhte Festigkeit und Flexibilität aus. ABS-Material wurde speziell für den Einsatz in der Automobilindustrie hergestellt und für die Produktion von Stoßstangen und anderen Karosserieteilen eingesetzt.

Dieses Produkt wurde mit einem TÜV Materialgutachten zertifiziert (Gutachten für das Material).
Eintragung nach §21 erforderlich, bitte vorher bei ihrem TÜV nachfragen, ob die Möglichkeit besteht.

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SKU: 87255976438

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4.7 ★★★★★
Based on 29 reviews
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MrGee
Los Angeles, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
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Verified Purchase
R. Cote
Grantham, 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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Verified Purchase
Rafael Azevedo Souza Costa
Natrona Heights, 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
Louisville, 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
Port Orchard, 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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