SKU: 80903227456

Marshalltown QLT 4-3/4 in. W x 10 in. L Polished Steel London Brick Trowel

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Description

Marshalltown QLT 4-3/4 in. W x 10 in. L Polished Steel London Brick TrowelMarshalltown QLT London Brick Trowel, 10 in. Blade A durable London pattern brick trowel crafted from polished steel for smooth mortar placement. Its hardwood handle and high lift shank offer comfortable control, ideal for leveling, spreading, and shaping mortar or plaster. Key Features: Polished Steel Blade: Smooth, durable surface for consistent mortar placement London Pattern Design: Rounded heel moves mortar forward to speed bricklaying Comfort

Marshalltown QLT London Brick Trowel, 10 in. Blade

A durable London-pattern brick trowel crafted from polished steel for smooth mortar placement. Its hardwood handle and high-lift shank offer comfortable control, ideal for leveling, spreading, and shaping mortar or plaster.

Key Features:

  • Polished Steel Blade: Smooth, durable surface for consistent mortar placement
  • London Pattern Design: Rounded heel moves mortar forward to speed bricklaying
  • Comfort Grip Hardwood Handle: Secured with metal ferrule for dependable control
  • High Shank & Lift: Provides ample hand clearance to reduce knuckle strain
  • DIY-Friendly Quality: Built for repeated use at an accessible price

Specifications Table:

Specification Details
Blade Length 10 inch
Blade Width 4-3/4 inch
Blade Material Polished Steel
Handle Material Hardwood with metal ferrule
Type London Brick (London pattern)
Sub Brand QLT
Number in Package 1
Package Height 4.2 in
Package Width 4.5 in
Package Length 14.6 in
Package Weight 0.7 lbs

Frequently Asked Questions (FAQ):

Q: What are the blade dimensions?
A: Blade length is 10 inches and blade width is 4-3/4 inches.

Q: What materials are used?
A: The blade is polished steel with a hardwood handle and metal ferrule.

Q: What tasks is this trowel suited for?
A: Leveling, spreading, and shaping cement, plaster, or mortar in masonry projects.

Q: Is the handle securely attached?
A: Yes, the hardwood handle is securely attached with a metal ferrule.

Q: What pattern is the trowel?
A: It is a London brick trowel with a rounded heel to move mortar forward.

Sleek Precision for Classic Masonry Work

This London-pattern trowel brings a clean, sculptural edge to masonry, marrying polished steel with a warm hardwood handle. The rounded heel is a subtle design flourish that pushes mortar with grace and efficiency. Style it with natural brick and lime mortar for a timeless, artisanal finish. Consider it an essential tool for crafting refined, enduring surfaces.

Upgrade your masonry toolkit with this polished steel London trowel for smoother, faster mortar work.

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SKU: 80903227456

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4.2 ★★★★★
Based on 26 reviews
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Verified Purchase
Shannon
Louisville, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Charlottesville, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Fort Morgan, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Bozeman, 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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