SKU: 7141199434

Personalisiertes Poster Wörterbuch-Definition Mama – Muttertag

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Description

Personalisiertes Poster Wörterbuch-Definition Mama – MuttertagDas Poster wird auf hochwertigem Premiumpapier in brillanten Farben gedruckt in mehreren Gren erhltlich. Manche Wrter brauchen keine langen Erklrungen und doch verdienen sie eine. Dieses Poster gibt Mama genau das: ihre eigene Definition, in ihrem Namen, fr immer festgehalten. So personalisierst du dein Poster Du bestimmst alles selbst. Trag im Konfigurator einfach den Namen der Mama ein (bis zu 30 Zeichen). Er erscheint im Wrterbuch Stil direkt unter

Das Poster wird auf hochwertigem Premiumpapier in brillanten Farben gedruckt – in mehreren Größen erhältlich.

Manche Wörter brauchen keine langen Erklärungen – und doch verdienen sie eine. Dieses Poster gibt Mama genau das: ihre eigene Definition, in ihrem Namen, für immer festgehalten.

So personalisierst du dein Poster

Du bestimmst alles selbst. Trag im Konfigurator einfach den Namen der Mama ein (bis zu 30 Zeichen). Er erscheint im Wörterbuch-Stil direkt unter dem großen Mama-Schriftzug als | Name | Substantiv. Der Schriftzug "Mama" ist fest auf dem Produkt gedruckt.

Sieh sofort wie dein Geschenk aussieht – unsere Live-Vorschau zeigt dir das fertige Design direkt im Konfigurator. Ändere solange bis alles perfekt ist – erst wenn du bestellst geht es in Produktion.

Tipp: Prüfe die Schreibweise deiner Namen und Texte sorgfältig bevor du bestellst. Nach Produktionsbeginn können keine Änderungen mehr vorgenommen werden.

Gutvibes liefert schnell nach Deutschland, Österreich und in die Schweiz. Produktion in 1-2 Werktagen, Versand nach Deutschland in 3-7 Werktagen (4,95 Euro – kostenlos ab 60 Euro).

Pflegehinweis: Nicht waschen – trocken lagern.

Jetzt gestalten und bestellen.

Häufige Fragen zu diesem Poster

Wie funktioniert die Personalisierung?

Du gestaltest das Produkt direkt im Konfigurator. Dann gibst du den Namen ein (max. 30 Zeichen). Die Live-Vorschau zeigt dir sofort das Ergebnis.

Wie viele Zeichen passen in das Namensfeld?

Jeder Name kann bis zu 30 Zeichen lang sein. Prüfe die Schreibweise sorgfältig – nach Produktionsbeginn sind keine Änderungen mehr möglich.

Für wen eignet sich das Poster als Geschenk?

Dieses Poster ist das perfekte Geschenk für alle Mütter – zum Muttertag, zum Geburtstag, zu Weihnachten oder einfach als Danke zwischendurch. Ob von Kindern, Enkeln oder dem Partner – wer Mama etwas Persönliches schenken möchte liegt hier richtig.

Wie pflege ich das Poster?

Nicht waschen – trocken lagern.

Wie lange dauert die Lieferung?

Die Produktionszeit beträgt 1-2 Werktage, danach Versand. Lieferung nach Deutschland in 3-7 Werktagen (4,95 Euro, kostenlos ab 60 Euro). Nach Österreich und in die Schweiz in 4-8 Werktagen (10,95 Euro, kostenlos ab 60 Euro). Meistens geht es schneller.

Was ist das beste personalisierte Poster Geschenk für Mama?

Die Wörterbuch-Definition von Mama – dieses Design trifft in Deutschland, Österreich und der Schweiz einen Nerv. Klar, persönlich und auf den Punkt: Was Mama bedeutet steht jetzt schwarz auf weiß auf ihrem Poster.

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SKU: 7141199434

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4.3 ★★★★★
Based on 11 reviews
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Product Reviews
S
Verified Purchase
Shannon
Lexington, 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
Phoenix, 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
Alexandria, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Phoenix, 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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