SKU: 67810257148

3 seater namos

Sale price$1034.55 Regular price$1149.50
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Ships within 48 hours · Estimated delivery Jul 18 - Jul 23

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Description

3 seater namosEntdecken Sie unvergleichliche Eleganz mit dem Namos Sofa. Eine perfekte Kombination aus hchstem Komfort und zeitgenssischer sthetik, verkrpert dieses Sofa die ideale Verbindung von Funktionalitt und Stil. Jedes Detail unserer Kreationen, von eleganten Linien bis hin zu hochwertigen Materialien, spiegelt unser Engagement fr Exzellenz wider. Genieen Sie den ultimativen Luxus, schaffen Sie unvergessliche Momente mit Ihren Lieben und verwandeln Sie Ihr

Entdecken Sie unvergleichliche Eleganz mit dem Namos Sofa. Eine perfekte Kombination aus höchstem Komfort und zeitgenössischer Ästhetik, verkörpert dieses Sofa die ideale Verbindung von Funktionalität und Stil.
Jedes Detail unserer Kreationen, von eleganten Linien bis hin zu hochwertigen Materialien, spiegelt unser Engagement für Exzellenz wider. Genießen Sie den ultimativen Luxus, schaffen Sie unvergessliche Momente mit Ihren Lieben und verwandeln Sie Ihr Wohnzimmer in eine Oase der Gelassenheit und des Stils.

Wir verwenden erstklassige Materialien und Technologien. Unsere Sofas bestehen aus hochresilientem Polyurethanschaum mit einer Dichte von 35 kg/m3. Seine Mikrozellen ermöglichen es dem Schaum, über die Zeit seine ursprüngliche Form zu bewahren, was perfekt ist, um Ihr Sofa so lange wie möglich zu erhalten. Die Konstruktion der Sofas besteht aus edlen und langlebigen Materialien: gepressten Plattenelementen und einem Buchenholzrahmen.

2-Sitzer Abmessungen (cm)
Länge: 190
Breite: 106
Höhe: 79
Sitzhöhe: 39

3-Sitzer Abmessungen (cm)
Länge: 220
Breite: 106
Höhe: 79
Sitzhöhe: 39


Hergestellt in Europa

Für den Bezug wurden die besten Materialien aus der EU verwendet - von der Verarbeitung der Nähte bis zur Herstellung des Rahmens gelten die höchsten Qualitätsstandards für ein langlebiges Produkt mit elegantem Aussehen.

Material

Polsterung: Schaumstoffpolsterung, Dichte: 35 kg/m3

Rahmen: Massivholz aus Fichte, FSC-zertifiziert, Spanplatte, Hartfaserplatte, mitteldichte Faserplatte (MDF)

Beine: Kunststoff

Tragfähigkeit

Gesamtladefähigkeit: 150 kg pro Element

Unser Tipp: Leichte Verschmutzungen können einfach mit einem feuchten Tuch entfernt werden. Handelsübliche Textilreiniger können bei hartnäckigen Flecken verwendet werden. Testen Sie Reinigungsmittel immer an einer unauffälligen Stelle!

So können Sie sicherstellen, dass der Stoff nicht beeinträchtigt wird. Um die Haltbarkeit zu gewährleisten, empfehlen wir, den Stoff zu imprägnieren.

Das Sofa wird verpackt geliefert, um Platz zu sparen, und erfordert nur eine minimale Montage.

Anzahl der Pakete:

2-Sitzer: 1

3-Sitzer: 1

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SKU: 67810257148

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4.3 ★★★★★
Based on 25 reviews
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CL
Omaha, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
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Verified Purchase
Amazon Customer
Draper, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
M
Verified Purchase
MrGee
Grantham, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
R
Verified Purchase
R. Cote
Battle Creek, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Massapequa, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025

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