SKU: 30229800603

MARQUIS SERIES SAPPHIRE 80LB - SAPPHIRE

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Description

MARQUIS SERIES SAPPHIRE 80LB - SAPPHIREThe PMM Marquis Series Sapphire 80lb exposed aggregate pool finish delivers the premium aesthetic and durability pool contractors demand for high end residential and commercial installations. This factory blended polymer modified cement creates a stunning rich blue finish with natural shimmering effects that elevate any pool project. Professional Installation Benefits Designed for contractor efficiency, this exposed aggregate finish offers superior

The PMM Marquis Series Sapphire 80lb exposed aggregate pool finish delivers the premium aesthetic and durability pool contractors demand for high-end residential and commercial installations. This factory-blended polymer modified cement creates a stunning rich blue finish with natural shimmering effects that elevate any pool project.

Professional Installation Benefits

Designed for contractor efficiency, this exposed aggregate finish offers superior slip resistance and enhanced durability that reduces callback maintenance issues. The 18-20 square foot coverage per 80lb bag provides predictable material calculations for accurate project bidding, while the polymer modification ensures consistent application and long-lasting results that protect your reputation.

Why Pool Contractors Choose MT Pools

MT Pools understands the demands of professional pool construction and renovation projects. Our wholesale pricing structure maximizes your profit margins while our reliable inventory and superior customer service keep your projects on schedule. With daily recurring customer support, you get expert technical guidance when you need it most.

Frequently Asked Questions

How much coverage does each 80lb bag provide?

Each 80lb bag of PMM Marquis Sapphire covers 18-20 square feet, allowing for accurate material estimation and project bidding for pool contractors.

What makes this finish suitable for commercial applications?

The polymer modified cement with quartz aggregates provides enhanced durability, slip resistance, and ease of maintenance, making it ideal for both residential and commercial pool installations.

Is bulk pricing available for large projects?

Yes, MT Pools offers competitive wholesale pricing with pallets containing 42 bags each, perfect for large residential and commercial pool finishing projects.

What technical support does MT Pools provide?

MT Pools provides superior customer service with expert technical guidance for proper application techniques and project specifications to ensure professional results.

Order Your Pool Finish Materials

Trust MT Pools for your premium pool finishing needs. Our team provides the technical expertise and reliable supply chain that professional pool contractors depend on for successful project completion.

Shipping Notes
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SKU: 30229800603

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4.3 ★★★★★
Based on 11 reviews
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Adam
Battle Creek, 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.
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Reviewed in the United States on May 22, 2026
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Verified Purchase
Amazon Customer
Los Angeles, 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
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Verified Purchase
mackster
Whiting, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018
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Verified Purchase
Stergios Papadimitriou
Massapequa, 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
Carnegie, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 23, 2026

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