SKU: 48385159159

24” Wide by 16” H Double Sided Custom Outdoor Pole Flag “Landscape Layout”

$39.56 $43.95
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Ships within 48 hours · Estimated delivery Jul 28 - Aug 2

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Description

24” Wide by 16” H Double Sided Custom Outdoor Pole Flag “Landscape Layout”Your selection is for a 24" Wide by 16" H Double Sided Custom Pole Flag. Hardware Pole not included. Free ground shipping in continental US, expedited shipping available. Orders normally ship within 3 business days of art approval. We also offer portable and permanent flagpoles call for a free quote today. 866 267 5814. Your selection is printed in portrait format and is finished in single reverse layout. Material: Mutiflag Knitted polyester fabric

Your selection is for a 24" Wide by 16" H Double Sided Custom Pole Flag. Hardware/Pole not included. Free ground shipping in continental US, expedited shipping available. Orders normally ship within 3 business days of art approval. We also offer portable and permanent flagpoles- call for a free quote today. 866-267-5814.

Your selection is printed in portrait format and is finished in single-reverse layout.

Material: Mutiflag® Knitted polyester fabric with excellent through print and high resistance to tearing and blocking inner liner for double side prints.

Finish: Choose from 4 options:

1.5" Pole Sleeve

  • Double Stitched safety hem all around
  • Left side finished with 1.5" flat laid pole sleeve, closed at top
  • Fits poles up to .9" in diameter
  • Brass grommet in lower left corner
  • Double-sided flags finished with opaque inner liner

3.0" Pole Sleeve

  • Double stitched safety hem all around
  • Left side finished with 3.0"" flat laid pole sleeve, closed at top
  • Fits poles up to 1.8" in diameter
  • Brass grommet in lower left corner
  • Double-sided flags finished with opaque inner liner

Header Tape and Grommets

  • Double stitched safety hem all around
  • Left side finished with header tape and grommets approximately every 3.0'
  • Minimum of 2 brass grommets
  • Double-sided flags finished with opaque inner liner

Wrapped Header Tape and Grommets

  • Double stitched safety hem all around
  • Left side finished with header tape wrapped into printed flag material and grommets approximately every 3.0'
  • Minimum of 2 brass grommets
  • Double-sided flags finished top stich hemmed sides with opaque inner liner

 You can upload your artwork here. A confirmation proof will be provided prior to printing.

Click here to view our Spec Sheet for Landscape and Portrait Custom Pole Flags

Click here to view our entire selection of Landscape Custom Outdoor Pole Flags

Click here to view our entire selection of Portrait Custom Outdoor Pole Flags

Click here to view our entire selection of all Indoor/Outdoor Flags

Need a different size custom flag than you're finding? We can print virtually any size from tiny to super-huge.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 48385159159

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4.8 ★★★★★
Based on 11 reviews
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S
Verified Purchase
Shannon
Waukegan, 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
Port Orchard, 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
Fort Morgan, 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
Natrona Heights, 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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