modern brown dresser LINQ 9186 6-Drawer Dresser
SKU: 79425956022
modern brown dresser

modern brown dresser LINQ 9186 6-Drawer Dresser

Sale price$21.88 Regular price$24.31
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Description

modern brown dresser LINQ 9186 6-Drawer DresserSturdy storage. Although they float on elegant steel bases, don't underestimate the strong footprint of the LINQ storage cabinets. Engineered with function and security in mind, this 6 Drawer Dresser is the anchor of any LINQ bedroom. The LINQ dresser provides a wealth of storage in its six roomy drawers. Concealed hardware smoothly glides the drawers open, and they self close gently with a simple push. Combining innovative design, intelligent

Sturdy storage. Although they float on elegant steel bases, don't underestimate the strong footprint of the LINQ storage cabinets. Engineered with function and security in mind, this 6-Drawer Dresser is the anchor of any LINQ bedroom.

The LINQ dresser provides a wealth of storage in its six roomy drawers. Concealed hardware smoothly glides the drawers open, and they self-close gently with a simple push.

Combining innovative design, intelligent engineering, and ingenious new features, the LINQ collection has re-imagined what bedroom furniture can be. With a dreamy combination of impressive design, innovative features, and natural wood grains, a LINQ bedroom is engineered for today's connected lifestyle.


Product Details
  • Sleek and Secure - LINQ's black, textured drawers open smoothly on hidden drawer glides and feature a soft-close mechanism, self-closing with a simple push. The integrated safety mechanism ensures that only one drawer can be opened at a time, helping to protect curious little ones.
  • Balanced Design - The wide LINQ dresser boasts generous storage for an entire wardrobe. Drawers are sized in graduated depths, providing space for larger, bulky items in the lower drawers.
  • On STURDY Ground - LINQ storage cabinets are engineered with safety in mind to meet the demanding requirements of the STURDY Act.
    Added security and stability is enabled by a powder-coated steel base with adjustable levelers and an included wall-anchoring kit.
  • Constructed from natural walnut veneers, powder coated steel and hardwood solids.
  • Also available as a 5-Drawer Chest.

6-Drawer Dresser Dimensions - 33H x 69W x 20D in

Download Spec Sheet


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Exchange/Return Notes
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SKU: 79425956022

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R. Cote
Port Orchard, 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
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Rafael Azevedo Souza Costa
Whiting, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Bozeman, 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.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Birmingham, 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.
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Reviewed in the United States on April 13, 2025
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3rd Act
Grantham, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024

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