SKU: 35307253901

Fetra 24001400 24011401 24021402 24031403 Tischwagen mit wasserfesten Plattformen

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Description

Fetra 24001400 24011401 24021402 24031403 Tischwagen mit wasserfesten PlattformenBitte whlen Sie zuerst das gewnschte Modell oben rechts aus! Die vielseitig einsetzbaren Tischwagen knnen sowohl als fahrbare Ablage wie aber auch als Transporthilfe genutzt werden. Art. Nr. Tragkraft Rder Etagenhhen Ladeflche LxB Auenmae LxBxH Gewicht 24001400 500 kg 160 mm 228,860 mm 850x500 mm 1047x509x860 mm 35 kg 24011401 600 kg 200 mm 270, 900 mm 1000x600 mm 1197x609x900 mm 42 kg 24021402 600 kg 200 mm 270, 900 mm 1000x700 mm 1197x709x900 mm

Bitte wählen Sie zuerst das gewünschte Modell oben rechts aus!

Die vielseitig einsetzbaren Tischwagen können sowohl als fahrbare Ablage wie aber auch als Transporthilfe genutzt werden.

Art.-Nr. Tragkraft Räder Etagenhöhen Ladefläche LxB Außenmaße LxBxH Gewicht
24001400 500 kg 160 mm 228,860 mm 850x500 mm 1047x509x860 mm 35 kg
24011401 600 kg 200 mm 270, 900 mm 1000x600 mm 1197x609x900 mm 42 kg
24021402 600 kg 200 mm 270, 900 mm 1000x700 mm 1197x709x900 mm 46,5 kg
24031403 600 kg 200 mm 270, 900 mm 1200x800 mm 1397x809x900 mm 56 kg

Dieser Tischwagen mit zwei Plattformen mit rutschsicherer Siebdruckplatte aus wasserfestem Sperrholz ist aus Stahlrohr und Profilstahl geschweißt und pulverbeschichtet. Die Tragkraft der oberen Ladefläche beträgt 200 kg.

Dieses Modell von fetra-Transportgeräte ist mit dem herstellereigenen TOTALSTOP-Zentralbremssystem ausgestattet. Dabei werden mit nur einem Fußtritt die Raddrehung und die Schwenkbewegung beider Lenkrollen blockiert. Das Bremspedal bleibt dabei immer im Sichtfeld des Bedieners.

Die Beräderung besteht aus zwei Lenkrollen mit Feststellern und zwei Bockrollen mit TPE-Bereifung sowie Naben mit Rillenkugellagern (gemäß der Europäischen Norm EN 1757-3).

Der Hersteller gewährt zehn Jahre Garantie.

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SKU: 35307253901

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4.5 ★★★★★
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Verified Purchase
Adam
Houston, 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
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Verified Purchase
Amazon Customer
Birmingham, 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
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Verified Purchase
mackster
Draper, 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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Verified Purchase
Stergios Papadimitriou
Draper, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
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Verified Purchase
Sabrina
Lexington, US
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected. The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading. If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026

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