SKU: 85099789359

Lindyn Fog 5-Piece Sectional

Sale price$1003.05 Regular price$1114.50
Save 10%

Pay in installments of $278.62 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 19 - Aug 24

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Lindyn Fog 5-Piece SectionalOVERVIEW Item Name: Lindyn 5 Piece Sectional by Ashley SKU: 21105S5 Collection Name: Lindyn Brand: Signature Design by Ashley Series ID: 21105 Plush and posh. Showcase your eye for on trend texture with the statement making cord upholstery of this sectional. Its stunningly soft fabric entices in a warm neutral hue, complementing contemporary color palettes. Sink into the cushions and plan to stay a whilethis cozy living room centerpiece highlights

OVERVIEW

  • Item Name: Lindyn 5-Piece Sectional by Ashley
  • SKU: 21105S5
  • Collection Name: Lindyn
  • Brand: Signature Design by Ashley®
  • Series ID: 21105

 

Plush and posh. Showcase your eye for on-trend texture with the statement-making cord upholstery of this sectional. Its stunningly soft fabric entices in a warm neutral hue, complementing contemporary color palettes. Sink into the cushions and plan to stay a while—this cozy living room centerpiece highlights your high-end approach to comfort and style. Luna Furniture introduces Lindyn 5-Piece Sectional to enhance the beauty of your living spaces.

 

DIMENSIONS

  • Overall Dimensions (Inches): 133''W x 133''D x 38''H
  • Item Weight (Lbs): 465
  • Unit Width (Inches): 133
  • Unit Depth (Inches): 133
  • Unit Height (Inches): 38
  • Items Per Case: 1
  • Shipping Weight (Lbs): 483

 

SPECIFICATIONS

  • Lifestyle: Contemporary
  • Color: Black/Gray
  • Fabric: Velvet

 

FEATURES

  • Includes left-arm facing corner chair, 2 armless chairs, wedge and right-arm facing corner chair
  • "Left-arm" and "right-arm" describe the position of the arm when you face the piece
  • Corner-blocked frame
  • Reversible cushions
  • High-resiliency foam cushions wrapped in thick poly fiber
  • Throw pillows included
  • Pillows with feather-fiber blend
  • Polyester upholstery
  • Exposed feet with faux wood finish
  • Platform foundation system resists sagging 3x better than spring system after 20,000 testing cycles by providing more even support
  • Smooth platform foundation maintains tight, wrinkle-free look without dips or sags that can occur over time with sinuous spring foundations
  • Seat Count: 5

Need more options? Browse all sectionals to find the perfect match for your space.

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: 85099789359

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.1 ★★★★★
Based on 22 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
M
Verified Purchase
MrGee
Boise, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
R
Verified Purchase
R. Cote
Waukegan, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Chelsea, 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
T
Verified Purchase
Thomas
Lake Worth, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024
L
Verified Purchase
La Monte HP Yarroll
West Palm Beach, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025

recommand products