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Description
Kidol & Shellder Armless Office Chair Desk Chair Comfy Makeup Vanity Chair with Back Ergonomic Swivel Chair Home Office Desk Chairs with Wheels Rolling Computer Chair Bedroom Accent Chair(Khaki)About This Ergonomic Design & Comfortable SeatingOur armless office chair is based on ergonomic standards and human body features. Office desk chair lumbar support curve better fits your body to protect your spine and relieve pain for long time work. Home office desk chairs are cushioned with high density sponges superior seating comfort. Adjustable Height & 360SwivelThe height of the computer chair can be adjusted using the bottom right handle to
About This
- 📚【Ergonomic Design & Comfortable Seating】Our armless office chair is based on ergonomic standards and human body features. Office desk chair lumbar support curve better fits your body to protect your spine and relieve pain for long time work. Home office desk chairs are cushioned with high-density sponges superior seating comfort.
- 📝【Adjustable Height & 360°Swivel】The height of the computer chair can be adjusted using the bottom right handle to meet different heights of desks. The makeup vanity chair with back uses 360°rolling casters making quiet moving not hurt floor. Adjust swivel chair cushion bottom knob tightness，enjoying a soothing rock-back to relieve fatigue.
- 📚【Modern Style & Wide Use】The ergonomic office chairs feature modern design that blends classic styling. The accent chair seat surface is hand pleated to create a fluffy texture and a strong overall visual sense. The ergonomic chair are ideal for use in home, office, study, waiting room, guest room, conference room, reception rooms and more.
- 📝【Sturdy Frame & Durable Material】Our bedroom chair has a sturdy metal frame, which provides better supportability and can hold up to 300 lbs. The chair for desk adopts durable waterproof faux leather which is easy to clean and you can easily wipe off the stain with a damp cloth.
- 📚【Easy to install & Customer Service】★Please take off the plastic air cap before installation.The rolling chair comes with installation instructions and tools. The desk chairs with wheels can be quickly assembled and it takes only few minutes. Please let us know if you have any questions about the comfy chair and we will provide a satisfactory solution.
Overview
- Brand : Kidol & Shellder
- Color : Khaki
- Product Dimensions : 17.3"D x 20.5"W x 34.6"H
- Back Style : Solid Back
- Special Feature : Upholstered Leather, rolling, Adjustable Height, Space Saving
- Material Faux Leather, Sponge, Metal : Frame Material Metal
- : Material Faux Leather, Sponge, Metal
- : Frame Material Metal
- Seat Material Type Sponge : Maximum Weight Recommendation 300 Pounds
- : Seat Material Type Sponge
- : Maximum Weight Recommendation 300 Pounds
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- Free Standard Shipping on $100+ Orders to the USA.
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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]
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4.1 ★★★★★
Based on 5 reviews
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Product Reviews
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry.
The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on May 23, 2026
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