SKU: 92606267165

vidaXL Kranz mit 150 LEDs Warmweiß 121 x 121 x 10 cm PET

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Description

vidaXL Kranz mit 150 LEDs Warmweiß 121 x 121 x 10 cm PETDiese moderne Weihnachtsdekoration bringt schlichte Eleganz und praktische Funktionalitt zusammen perfekt fr alle, die ihr festliches Dekor aufpeppen wollen. Die klaren Linien und das minimalistische Design passen zu jeder modernen Einrichtung und geben deinem Raum einen raffinierten, festlichen Touch. Stell dir das sanfte Licht von warmweien LEDs vor, das dein Weihnachtssetup hell erleuchtet und intime Feiertagsversammlungen mit Familie und Freunden

Diese moderne Weihnachtsdekoration bringt schlichte Eleganz und praktische Funktionalität zusammen – perfekt für alle, die ihr festliches Dekor aufpeppen wollen. Die klaren Linien und das minimalistische Design passen zu jeder modernen Einrichtung und geben deinem Raum einen raffinierten, festlichen Touch. Stell dir das sanfte Licht von warmweißen LEDs vor, das dein Weihnachtssetup hell erleuchtet und intime Feiertagsversammlungen mit Familie und Freunden schöner macht. Verwendete Materialien: Der Kranz ist präzise gefertigt und zeichnet sich durch strapazierfähiges Material und eine polierte Oberfläche aus, die modernen Stil wiederspiegelt. Seine robuste Bauweise sorgt für jahrelangen Einsatz und jede Komponente ist darauf ausgelegt, saisonalen Abnutzungen standzuhalten. Enthaltene Komponenten: Diese Dekoration kommt mit einem charmanten Kranz, der mit einer Schleife verziert ist. Der LED-Streifen bietet vielseitige Beleuchtungsoptionen und steigert die Attraktivität des Kranzes, indem er eine warme und einladende Atmosphäre schafft. Funktionalität und Design: Die flexiblen LED-Streifenlichter lassen sich einfach an eine USB-Stromquelle anschließen. Ideal für alle, die Funktionalität schätzen, betont das moderne Design eine schlichte Eleganz und bringt einen Hauch von Stil in jeden Raum. Empfohlene Anwendungen: Perfekt für Weihnachtsumgebungen, egal ob im Wohnzimmer oder Büro, sorgt die Vielseitigkeit dafür, dass sie in verschiedenen Settings passt. Ob auf einem Kaminsims oder einem festlichen Tisch, sie verkörpert den Feiertagsgeist mit Stil. Einfache Pflege: Mit wenig Montagebedarf ist diese Dekoration unkompliziert zu handhaben. Sie lässt sich einfach reinigen und nach den Feiertagen für einen erneuten Einsatz aufbewahren. So wird der Dekorationsprozess einfacher und macht mehr Spaß.

  • Farbe: Warmweiß
  • Material: PET
  • Gesamtabmessungen: 121 x 121 x 10 cm (L x B x H)
  • Kabellänge: 50 cm
  • Lichttyp: LED-Streifen
  • Anzahl der LEDs: 150
  • Lichtschaltertyp: Fernbedienung
  • Stromquelle: USB
  • Langlebig
  • Einfach zu pflegen
  • Glitzernde große Schleife
  • Stylischer Spiral-Wickel
  • Praktischer Hängering
  • Verwendung im Innenbereich und geschützten Außenbereich
  • Lieferumfang:
  • 1 x Kranz mit Schleife
Dieses Produkt wird mit 5 V Gleichstrom betrieben, aber die zertifizierte 5-V-USB-Stromquelle ist nicht im Lieferumfang enthalten. Eine höhere Spannung kann zu einer Überhitzung führen und das Gerät beschädigen sowie das Risiko von Überhitzung und Brand verursachen.
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SKU: 92606267165

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4.6 ★★★★★
Based on 13 reviews
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Shannon
Lake Worth, 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!!
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Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Draper, 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.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Draper, 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.
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Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Houston, 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
Fort Morgan, 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.
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Reviewed in the United States on May 15, 2018

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