SKU: 55169687646

Bestier L Shaped Desk, 95.2 Inch Reversible Corner Computer Desk with Shelves, 2 Person Long Table for Home Office, Large Writing Storage Workstation with 3 Cable Holes, Rustic Brown, Grey Oak

Sale price$129.59 Regular price$143.99
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Description

Bestier L Shaped Desk, 95.2 Inch Reversible Corner Computer Desk with Shelves, 2 Person Long Table for Home Office, Large Writing Storage Workstation with 3 Cable Holes, Rustic Brown, Grey OakAbout This Function Meets Style: Can easily fit 2 monitors on one side and still have plenty of space for a computer, a printer and assorted things on the other side. Equipped with 3 cable holes, the desk with storage functions better in home and office 2 Different Configurations: Chosen it to be a 59. 5" corner desk or a 95. 5" double long desk, it's up to you. The l option makes full use of corner space and the long option is very suitable for 2

About This

  • Function Meets Style: Can easily fit 2 monitors on one side and still have plenty of space for a computer, a printer and assorted things on the other side. Equipped with 3 cable holes, the desk with storage functions better in home and office
  • 2 Different Configurations: Chosen it to be a 59.5" corner desk or a 95.5" double long desk, it's up to you. The l option makes full use of corner space and the long option is very suitable for 2 person working together
  • Flexible Storage Shelves: The shelves under desk can be installed at Right + Middle or Left + Middle when becoming an l-shaped desk; also can be Right + Middle when a long desk
  • Sturdy Build: Crafted of metal frame and P2 Class Wood certified by CARB, the office computer desk functions very stable for long time use
  • Straightforward Manual: Everything is packed with styrofoam and thick cardboard. Easy assembly with labeled parts and illustrated instructions for a simple and stress-free build

Overview

  • Brand : Bestier
  • Product Dimensions : 22.8"D x 59.4"W x 29.1"H
  • Color : Gray Oak
  • Style : Industrial
  • Base Material : Metal
  • Top Material Type : Engineered Wood
  • Finish Type : Laminated
  • Special Feature : Reversible
  • Room Type : Office, Living Room, Bedroom, Study Room
  • Recommended Uses For Product : Working, Writing, Gaming
  • Shape L-Shape : Desk design Computer Desk
  • : Shape L-Shape
  • : Desk design Computer Desk
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SKU: 55169687646

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R. Cote
New York, 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
Grantham, 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
Alexandria, 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
Pawtucket, 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
Lowell, 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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