SKU: 66194259703

Netline Home Red Burgundy Blue Navy Green Khaki Classic Vintage Machine Washable Chenille Rug Design NH7129

Sale price$46.67 Regular price$51.86
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Description

Netline Home Red Burgundy Blue Navy Green Khaki Classic Vintage Machine Washable Chenille Rug Design NH7129Netline Home Machine washable chenille rug Made to order Netline Home Red Burgundy Blue Navy Green Khaki Classic Vintage Machine Washable Chenille Rug Design NH7129 Netline Home Red Burgundy Blue Navy Green Khaki Classic Vintage Machine Washable Chenille Rug Design NH7129 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

Netline Home · Machine washable chenille rug · Made to order

Netline Home Red Burgundy Blue Navy Green Khaki Classic Vintage Machine Washable Chenille Rug Design NH7129

Netline Home Red Burgundy Blue Navy Green Khaki Classic Vintage Machine Washable Chenille Rug Design NH7129 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 Classic Vintage style in Red Burgundy Blue Navy Green Khaki colors, with a clean design code for easier ordering and after-sales support.

DesignNH7129
StyleClassic Vintage
ColoursRed Burgundy Blue Navy Green Khaki

Clean, practical rug design

Netline Home Red Burgundy Blue Navy Green Khaki Classic Vintage Machine Washable Chenille Rug Design NH7129 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: NH7129.

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 Red Burgundy Blue Navy Green Khaki palette gives the design a clear visual identity, while the Classic Vintage 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: 3023-02. This reference is for production organization only.

Netline Home Red Burgundy Blue Navy Green Khaki Classic Vintage Machine Washable Chenille Rug Design NH7129 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: 66194259703

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Randy Hayes
Alexandria, US
★★★★★ 5
Hilarious and Informative
Format: Kindle
This book was a major hit with me - it had me in hysterics at several points while teaching me a lot about machine learning and neural networks on a deep level.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2026
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Odysseus at home
Waukegan, US
★★★★★ 5
An adorable book
Format: Paperback
This is an adorable book. I bought it because I needed to know more about AI, and this exemplar seemed perfect to me. And it was. I had already read several books on AI, dozens in fact, and let's say this is one of the best. First: the tone (the author is very nice); secondly, the drawings (always adding clarity), and thirdly, the scope (it covers all the main topics, including ethical and technological issues). The problem with books on AI is that some authors begin to talk on AI in a very effective manner, but then, before you realize, they start pontificating on all the evils that it brings with it, and the perverse people behind the scene trying to kidnap your soul (or your money). Believe me, I tremble every time I read on AI because I know what possibly is going to happen after the first fifty pages. This is not the case. Janelle Shane goes to the point, shows you the magic, and the limits of this pervasive science, without painting the horror movie some others make you watch. Highly recommended for all those interested in passing a couple of days of good reading on AI topics, learning on them, and enjoying a very entertaining author. Five brilliant stars.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 13, 2023
K
Verified Purchase
Kelson Vibber
Port Orchard, US
★★★★★ 5
A fun, accessible introduction to how AI works...and how it sometimes doesn't!
Format: Hardcover
Still relevant despite recent advances in AI-generated imagery and text, because the new systems still work on the same principles as the ones that were around three years ago. They just have a lot more data and processing power. This also means they have the same limitations and blind spots. What was it trained on? *How* was it trained? (This is the most obvious way human bias can leak into an AI model.) How well is the goal specified? And of course, did the AI actually latch onto relevant details, or did it notice that all the training pictures labeled sheep had green fields and blue skies, and completely ignore the actual sheep? These are things to keep in mind as we enter the landscape of generative AI tools like ChatGPT: You can train an LLM to write a book review, and it'll give you a great piece of text that *reads* like a book review -- but it's not going to have actually evaluated the book. For that, you'd have to train *another* AI to categorize books as good, bad, interesting, dull, and so on. But even that can only be as good as its training data. (I don't remember whether the classic phrase "garbage in, garbage out" is used anywhere in the book, but it still applies today!)
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Reviewed in the United States on April 1, 2023
T
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Tero
West Palm Beach, US
★★★★★ 4
If you want a book on the details of AI without math and statistics, this is it
Format: Paperback
I had this book a year or two back and then sold a lot of books as they piled up. After that I read a good number of books on AI. Of those, Ethan Mollick's book Co-Intelligence is best for the user end. But then there was still the issue of how do they do it? If you want to understand the process how AI works, there are a few books like this. Melanie Mitchell tends to focus on pictures. When you read ANY of these book, you will come to a page where you think "this makes no sense." You get there because the way AI chops up information and stores it in "cells" and then processes in stages (deep learining, hidden layers) is not how we think. They are not brains, though the neural network has some similarity to ours. You will simply need to finish the book. This one or the one you bought. Then read another one, if needed. It will make a lot of sense if you finish the book. Then you just generalize where you are at. I am never going to write Python or get deeply involved in tha manner. I am quite familiar with the free vesrions and I am able to check what summaries I get from AI. I will also keep up with the language part of it. AI does not study grammar the way we do. It looks for patterns in millions of examples. I have since 2023 gone through most of the 20 dollar range books. This one is the best.
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Reviewed in the United States on April 1, 2026
E
Verified Purchase
Erica V. Matos
Port Orchard, US
★★★★★ 5
Great, funny intro to AI
Format: Hardcover
This is a wonderful, humorous introduction to AI that is a fast read packed full of examples. It makes a great gift for friends or family who don’t know much about the field, and I imagine it would be especially interesting to teens. I loved the way she used running jokes to make connections between themes. Shane is clearly on a mission to make AI more accessible. It’s funny, someone else said they didn’t like this book because it wasn’t enough like Shane’s tear-inducingly-hilarious blog. But here’s the thing: I can read the blog for free! I was actually nervous that I was going to be getting a repeat of the blog in book form, but it was super different. If you’re a computer science scholar, maybe skip this one, but I don’t think that was the audience Shane was trying to reach.
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Reviewed in the United States on November 19, 2019

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