SKU: 30650318324

Ice Blue Filigree Classic Robe

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Description

Ice Blue Filigree Classic RobeMeet your new favorite relaxation staple! This classic Ice Blue Filigree robe designed to make you feel comfortable, and look even better is made from 100% soft, mid weight cotton and hand block printed by artisans. Unlike bulky robes, this one is made to flatter your figure with scalloped edges, creating a feminine silhouette for every type of body. Its the Goldilocks of comfort not too tight, not too loose, just right for lounging after a shower,

Meet your new favorite relaxation staple! This classic Ice Blue Filigree robe — designed to make you feel comfortable, and look even better — is made from 100% soft, mid-weight cotton and hand-block printed by artisans. Unlike bulky robes, this one is made to flatter your figure with scalloped edges, creating a feminine silhouette for every type of body. 

It’s the Goldilocks of comfort… not too tight, not too loose, just right for lounging after a shower, drinking your morning coffee, or snuggling up with a good book. Practical features like spacious pockets and an attached belt you can’t lose, ensure that you look great in an instant without any effort! Indulge in a quality robe that makes you look and feel amazing every day. 

  • Easy Care: Machine washable and iron safe for simple upkeep.

  • Premium Fabric: 100% soft, mid-weight cotton for breathable, all-season comfort. 

  • Signature Scalloping: Scalloped details create a feminine silhouette, without the bulk.

  • Handcrafted Quality: Designed in California, Handmade In India.

  • Practical Pockets: Spacious pockets to hold your essentials like a phone or lip balm. 

  • Stay-Put Belt: An attached belt and adjustable ties keep your robe secure and your belt in place. 

True To Size: Robes have been washed many times during the printing process to prevent shrinkage at home.

Product Story

My new Filigree Print was inspired by a dream.

In the dream, I am at a small dinner party in a beautiful London brownstone in the Mayfair district. Our dinner party is seated around a beautiful antique dining table set with stunning bone china plates. The room’s walls are covered in a striking de Gournay wallpaper. The setting is elegant, warm and comfortable. I am at the table with friends talking while waiting to be served.

As I take in the scene with all my senses a vision for a new pattern emerged in my mind’s eye. The bone china’s Filigree elements combine with the room’s wallpaper, melting slowly into an idea…I can barely see it but there it is...

The dream skips backward, I’m now in the kitchen with the hostess. It’s the morning before the dinner party.. She is wearing a beautiful bathrobe with the pattern I had imagined. I could see the pattern's outline but not clearly. It was red with delicate lines. But the harder I tried to see the print the more it faded…..

Upon awakening I race down to my office to sketch as much of the design as possible. This is where it all started.

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SKU: 30650318324

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4.1 ★★★★★
Based on 18 reviews
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Verified Purchase
Adam
Bozeman, US
★★★★★ 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
A
Verified Purchase
Amazon Customer
Lake Worth, US
★★★★★ 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
M
Verified Purchase
mackster
Boise, US
★★★★★ 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
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Verified Purchase
Stergios Papadimitriou
Port Orchard, US
★★★★★ 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
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Verified Purchase
Sabrina
West Palm Beach, US
★★★★★ 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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