SKU: 50013431347

Tesla Model Y Gummimatte Frunk (vorderer Kofferraum) TESSI® Greenline 75% Recycling Material

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Description

Tesla Model Y Gummimatte Frunk (vorderer Kofferraum) TESSI® Greenline 75% Recycling MaterialTessi Greenline Gummimatten Das perfekte Tesla Model Y Zubehr Die Tessi Greenline Model Y Gummimatten sind das perfekte und unverzichtbare Zubehr fr dein Tesla Model Y. Sie schtzen den Innenraum vor Schmutz und Abnutzung und bestehen nachhaltig aus 75% recyceltem Material. Die praktischen Model Y Allwettermatten nehmen Schmutz, Sand, Schlamm und Wasser perfekt auf und eignen sich somit als schtzende Allwettermatte fr das ganze Jahr. Die wichtigsten

Tessi Greenline Gummimatten - Das perfekte Tesla Model Y Zubehör

Die Tessi Greenline Model Y Gummimatten sind das perfekte und unverzichtbare Zubehör für dein Tesla Model Y. Sie schützen den Innenraum vor Schmutz und Abnutzung und bestehen nachhaltig aus 75% recyceltem Material. Die praktischen Model Y Allwettermatten nehmen Schmutz, Sand, Schlamm und Wasser perfekt auf und eignen sich somit als schützende Allwettermatte für das ganze Jahr.

Die wichtigsten Eigenschaften:

  • Einfache Reinigung: Im Gegensatz zu Textilmatten, die sich im Fahrzeug befinden, können unsere Tessi Greenline Gummimatten jederzeit ganz einfach mit Wasser oder einem Hochdruckreiniger gereinigt werden.
  • Feuchtigkeit & Geruch: Der Vorteil unserer Gummimatten liegt darin, dass unerwünschte Feuchtigkeitsansammlungen in den Textilmatten vermieden werden und somit keine unerwünschten Gerüche und Feuchtigkeit im Fahrzeug entstehen. Bei Bedarf können die Gummimatten jederzeit trockengewischt werden. Unsere Gummimatten sind im Gegensatz zu anderen Gummimatten aus Übersee, die oft einen chemischen Kunststoffgeruch aufweisen, nahezu geruchlos.
  • Hohe Ränder: Es handelt sich nicht nur um einfache Gummimatten, wie sie oft angeboten werden, sondern um hochwandige Matten, die auch bei stärkerer Verschmutzung verhindern, dass Wasser und Schmutz unter die Gummimatte gelangen.

Frunkmatte (vorderer Kofferraum)

Diese praktische Gummimatte für den vorderen Kofferraum (Frunk) schützt den Kofferraum deines Tesla Model Y besonders beim Beladen oder Verstauen von verschmutzten Gegenständen. Die Matte ist besonders praktisch für schmutzige und nasse Gegenstände wie schmutzige Schuhe oder Ladekabel und erleichtert die Reinigung des Frunks erheblich.

Perfekte Passform und zusätzlicher Schutz:

  • Maßgeschneidert: Entwickelt nach unseren Vorgaben mit spezieller 3D-Vermessung für eine exakte Passform im Tesla Model Y.
  • Verbreiterte Ränder: Die verbreiterten Ränder der beiden vorderen Fußmatten schützen nicht nur den Innenraum, sondern auch die Einstiegsleisten und verhindern Schmutz und Kratzer an der Einstiegsleiste, im Stoff und im Fußraum. Ein Merkmal, das in dieser Form kaum zu finden und ein echter Pluspunkt für unsere Gummimatten ist.

Innovatives und nachhaltiges Material:

Nach mehr als zweijähriger Entwicklungszeit in Zusammenarbeit mit einem Spezialisten für die Herstellung von Gummimatten haben wir ein einzigartiges Material entwickelt, das neue Maßstäbe in der Automobilindustrie setzen wird. Das Material, das ab 2025 bei BMW, Audi, Porsche und Co. zum Einsatz kommen wird, ist perfekt, robust und abriebfest. Unsere Tessi Greenline Matten bestehen zu 75% aus recyceltem Material und sind zu 100% recycelbar, im Vergleich zu maximal 30% bei anderen Anbietern - ein absolutes Alleinstellungsmerkmal! Durch das äußerst hochwertige Material, welches aus einem Guss besteht, wird unerwünschter Abrieb verhindert.

Europäische Produktion und Umweltfreundlichkeit:

  • Nachhaltige Produktion: Vom Rohstoff bis zum fertigen Produkt werden unsere Matten vollständig in Europa hergestellt.
  • Abfallverwertung: Hergestellt aus Bestandteilen, die bei anderen Produktionen als „Abfall“ übrigbleiben, was sie noch umweltfreundlicher macht. Dazu gehören Kreide, Altöl und recyceltes TPE.

Garantie:

Wir sind von unserem Produkt so überzeugt, dass wir 5 Jahre Garantie ab Kaufdatum gewähren!

Für einen detaillierten Bericht über unsere Greenline Produkte empfehlen wir den folgenden Artikel.

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SKU: 50013431347

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4.7 ★★★★★
Based on 18 reviews
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Shannon
San Leandro, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
West Palm Beach, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
West Palm Beach, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
San Leandro, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Louisville, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

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