SKU: 72150679482

KERSO

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Description

KERSOBeschreibung Du hast schon lange nach einem Korb gesucht, der sowohl praktisch als auch dekorativ ist? Unser Korb Kerso ist aus robuster, gerollter Bananenfaser gefertigt und mit einem einzigartigen Flechtmuster aus weien Baumwollschnren kunstvoll verziert. Der in drei Gren verfgbare, gerumige Korb gibt deiner Wohnung einen eigenen, individuellen Look und passt hervorragend zum trendigen Boho Stil. Mit diesem Korb wird das Ordnung schaffen in deinem

Beschreibung

Du hast schon lange nach einem Korb gesucht, der sowohl praktisch als auch dekorativ ist? Unser Korb Kerso ist aus robuster, gerollter Bananenfaser gefertigt und mit einem einzigartigen Flechtmuster aus weißen Baumwollschnüren kunstvoll verziert.

Der in drei Größen verfügbare, geräumige Korb gibt deiner Wohnung einen eigenen, individuellen Look und passt hervorragend zum trendigen Boho-Stil. Mit diesem Korb wird das Ordnung schaffen in deinem Zuhause zu einer wirklich stylischen Angelegenheit!

Maße & Gewicht

(Höhe (ohne Haltegriffe) x Durchmesser)

S: 36x30 cm; 1,10 kg

M: 40x35 cm; 1,40 kg

L: 44x40 cm; 1,60 kg

Unsere Produkte sind kunstvoll hergestellte Einzelstücke. Aufgrund der Fertigung von Hand und natürlicher Variationen der Materialien können sie in Größe, Farbe und Form leicht voneinander abweichen.

Weitere Infos

Unsere Körbe werden aus Pflanzenfasern hergestellt. Sie riechen deshalb wunderbar nach Natur und sie fühlen sich auch so an.

Hauptmaterial: Bananenfaser

Bei Bananenfaser handelt es sich um die Fasern der schichtartig aufgebauten Stämme landwirtschaftlich genutzter Bananenstauden. Die intensiv braune Färbung entsteht natürlicherweise, wenn die Fasern für etwa eine Woche unter der Sonne getrocknet werden. Danach werden die einzelnen Streifen zu den charakteristischen, etwa 6 mm dicken Strängen gerollt. Für dieses Material werden ausschließlich alte, absterbende Bananenstauden genutzt. So wird diesen Nutzpflanzen ein zweites Leben als formstabiles und robustes Ausgangsmaterial für viele handgefertigte Körbe hier bei Soeji ermöglicht. 

Weitere Materialien: Baumwolle, Nylonfaden

Wie man unsere Produkte mit ihren besonderen Materialien richtig pflegt, kannst du hier herausfinden.

Produktionsort: Dieser Korb wird handgefertigt in Java, Indonesien.

Bei der Auswahl unserer Produzenten vor Ort legen wir Wert auf faire Bezahlung und gute Arbeitsbedingungen. In den Betrieben, von denen wir unsere Ware beziehen, arbeiten ausschließlich volljährige und erfahrene Kunsthandwerker. Bei der Herstellung wird auf gesundheitsschädliche Chemikalien gänzlich verzichtet. Da sämtliche Arbeitsschritte von Hand erledigt werden, werden durch den Produktionsprozess kaum Treibhausgasemissionen erzeugt. All dies stellen wir durch regelmäßige Besuche vor Ort und dauerhaften persönlichen Kontakt zu den Betrieben sicher.


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SKU: 72150679482

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4.7 ★★★★★
Based on 26 reviews
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Shannon
Fort Morgan, 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
Battle Creek, 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
Grantham, 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
Charlottesville, 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.
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Reviewed in the United States on May 15, 2018

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