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Description
plant coat rack Fairmount Coat Rack — Steel Angled HooksHand welded steel coat rack made to order in our Camillus, NY workshop. Each hook is a single piece of steel with two hanging points an angled top arm and a deep lower curve so every hook does double duty (coat below, hat or bag up top). Choose your length from 10" (2 hooks) up to 48" (9 hooks). Details You'll Appreciate Hand welded by Tyler Kudlick in Camillus, New York Solid steel construction 3" backplate, 1" hooks, 1 4" thick Eight backplate
Hand-welded steel coat rack made to order in our Camillus, NY workshop. Each hook is a single piece of steel with two hanging points — an angled top arm and a deep lower curve — so every hook does double duty (coat below, hat or bag up top). Choose your length from 10" (2 hooks) up to 48" (9 hooks).
Details You'll Appreciate
- Hand-welded by Tyler Kudlick in Camillus, New York
- Solid steel construction — 3" backplate, 1" hooks, 1/4" thick
- Eight backplate lengths, 2 to 9 hooks
- Double-hook design — a top arm and a lower curve on every hook for two hanging points each
- Six hand-applied finishes
- Pre-drilled for 1/4" screws
- Made to order — ships in 7 days
Specifications
| Material | Solid steel, 1/4" thick, locally sourced in Upstate NY |
|---|---|
| Backplate width | 3" |
| Hook style | Double hook — angled top arm plus lower curve (two hanging points per hook) |
| Hook width | 1" |
| Mounting | 2 pre-drilled holes for 1/4" screws (hardware sold separately) |
| Finishes | Bare/raw metal, clear coat, matte black, copper, gold, and silver — see finish guide |
| Lead time | Made to order — ships in 7 days |
Length & Hook Count
| Backplate length | Hooks |
|---|---|
| 10" | 2 |
| 14" | 3 |
| 20" | 4 |
| 24" | 5 |
| 30" | 6 |
| 36" | 7 |
| 40" | 8 |
| 48" | 9 |
Shipping & Care
- Made to order — fabricated and shipped within 7 days
- Wipe clean with a soft, dry cloth. Avoid abrasives.
- Shipping and delivery details
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.3 ★★★★★
Based on 23 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.
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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