SKU: 38139914828

Netline Home Gray Silver Black Anthracite Geometric Modern Machine Washable Chenille Rug Design NH7073

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Description

Netline Home Gray Silver Black Anthracite Geometric Modern Machine Washable Chenille Rug Design NH7073Netline Home Machine washable chenille rug Made to order Netline Home Gray Silver Black Anthracite Geometric Modern Machine Washable Chenille Rug Design NH7073 Netline Home Gray Silver Black Anthracite Geometric Modern Machine Washable Chenille Rug Design NH7073 is a made to order rug listing from Netline Home, created for customers who want a refined machine washable chenille rug with a warm kilim character, practical everyday comfort, and a polished

Netline Home · Machine washable chenille rug · Made to order

Netline Home Gray Silver Black Anthracite Geometric Modern Machine Washable Chenille Rug Design NH7073

Netline Home Gray Silver Black Anthracite Geometric Modern Machine Washable Chenille Rug Design NH7073 is a made-to-order rug listing from Netline Home, created for customers who want a refined machine washable chenille rug with a warm kilim character, practical everyday comfort, and a polished interior-design look. This design belongs to the Netline Lacasa collection and is prepared as a flexible Shopify product listing with size variants, searchable product data, image-based content, and clear room-use language. The product is presented as a Geometric Modern style in Gray Silver Black Anthracite colors, with a clean design code for easier ordering and after-sales support.

DesignNH7073
StyleGeometric Modern
ColoursGray Silver Black Anthracite

Clean, practical rug design

Netline Home Gray Silver Black Anthracite Geometric Modern Machine Washable Chenille Rug Design NH7073 is designed for calm, modern homes that need a rug with texture, pattern and everyday usability. The chenille surface gives a soft feel underfoot, while the low-profile kilim character keeps the design neat beneath furniture. It works well in living rooms, bedrooms, dining areas, kitchens, hallways and compact apartments where a rug needs to add warmth without making the room feel crowded.

  • Machine washable construction for easier care in active homes.
  • Soft chenille texture with a low-profile kilim look.
  • Curated for the Netline Lacasa collection by Netline Home.
  • Available sizes: 100x200 cm, 120x180 cm, 155x230 cm, 200x300 cm, 60x90 cm, 80x150 cm, 80x300 cm.
  • Design code: NH7073.

Sizes, packing and weight

Size, packing volume and weight

Size Packing volume Weight
60x90 cm 31x31x4 cm 0.86 kg
80x150 cm 41x41x6 cm 1.86 kg
80x300 cm 41x41x8 cm 3.8 kg
100x200 cm 50x34x7 cm 3 kg
120x180 cm 41x46x6 cm 3.36 kg
155x230 cm 55x52x6 cm 5.6 kg
200x300 cm 53x58x10 cm 9 kg

How to use it

This rug is a versatile foundation piece for UK interiors. In a living room, it can sit beneath the front legs of a sofa to connect the seating area. In a bedroom, it adds softness around the bed and helps the room feel finished. In a hallway or kitchen, the washable construction and slim profile make it suitable for spaces that need comfort, pattern and easier care. The Gray Silver Black Anthracite palette gives the design a clear visual identity, while the Geometric Modern styling makes it easy to coordinate with wood, linen, stone, metal, neutral upholstery and layered lighting.

Care and ordering notes

All rugs in this listing are machine washable. Use a gentle cycle where suitable for your machine capacity, avoid harsh bleach, and allow the rug to dry fully before placing it back on the floor. For daily care, shake out loose dust, vacuum gently, and treat spills promptly. Each size variant includes packing volume and weight information to make storage, handling and fulfilment easier.

Producer reference: 465-01. This reference is for production organization only.

Netline Home Gray Silver Black Anthracite Geometric Modern Machine Washable Chenille Rug Design NH7073 can be styled as a quiet anchor or as the patterned focus of the room. Choose smaller sizes for bedside areas, compact seating corners and layered entries. Choose larger sizes when you want to connect sofas, coffee tables, dining furniture or open-plan spaces. The boxed information above is designed to keep the buying decision simple: design code, style, colours, sizes, packing volume and weight are all visible without clutter.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 38139914828

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4.5 ★★★★★
Based on 21 reviews
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A
Verified Purchase
Amazon Customer
Carnegie, 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
Whiting, 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
S
Verified Purchase
Stergios Papadimitriou
West Palm Beach, 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
S
Verified Purchase
Sabrina
Los Angeles, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 23, 2026
A
Verified Purchase
Aayan
Bozeman, US
★★★★★ 5
This is the best purchase I’ve made in 2025!
Format: Paperback, Format: Paperback
I don’t even know where to start ever since I finished (in early August, 2025) the whole series of this comic. I have never been this much speechless in my life. It’s my first comic that I’ve ever read and finished it. I got into invincible through the TV show and I wanted to give a shot on comics because people said it’s even better than the show, and I was blown away just by the tv show until I started reading this. It didn’t matter how tired I would be and/or how busy I would be, but I’d still make time to grab and read at least some pages very excited. There are so many parts in this comics where it reflected on my personal life and somewhat opened my eyes of what I had and need to do in my life. It was really fun, exciting, loving, caring, sad and emotional story. This comic has a definitive beginning and a final, conclusive ending. I loved it overall despite where there were some boring parts, but it all made sense later in the main story. Very well developed characters, stories and art. Now whenever I pass by my bookshelf and I see these books puts big fat huge smile on my face. I’m glad I have it in my collection. I got to experience in this comic what I couldn’t in real life. Every other night in random or toughest moment I would think about what would mark do in this situation. Thank you for this masterpiece ❤️
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Reviewed in the United States on September 18, 2025

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