SKU: 43275830060
monstera stencil

monstera stencil Monstera Leaf Stencil for Bold Wall Art

$25.41 $28.23
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Description

monstera stencil Monstera Leaf Stencil for Bold Wall ArtHand paint your home with our DIY home decor wall stencils. Accent your walls, floors, tiles or ceilings with our Philodendron wall stencil, a large leaf stencil design. Transform furniture into beautiful unique pieces with this tropical stencil pattern. Try using this stencil on duvets, as a pillow stencil or as a lampshade stencil to create stunning accent pieces. Browse more stencil designs from our Flowers, Leaves & Trees or Island Chic stencil

Hand paint your home with our DIY home decor wall stencils. Accent your walls, floors, tiles or ceilings with our Philodendron wall stencil, a large leaf stencil design. Transform furniture into beautiful unique pieces with this tropical stencil pattern. Try using this stencil on duvets, as a pillow stencil or as a lampshade stencil to create stunning accent pieces. Browse more stencil designs from our Flowers, Leaves & Trees or Island Chic stencil collection!

Stencil Sizes

Small 14" x 16.8" design / 15.85" x 19.5" sheet
Medium 26.7" x 30.4" design
Large 26.8" x 57.6" design

Quickly cover large areas with our Medium and Large wall stencil sizes which repeat the artwork pattern of our Small stencil sizes 4 & 8 times. Preferred by professional designers for hand-painting designs on walls and floors. See how much easier & faster it is to stencil these large spaces!

Layer(s): Single Layer Repeating Allover Design. Perfect for use as Wall Stencils, Floor Stencils or Tile Stencils.

Custom Size Stencils

If your project would be even easier with a Custom size, please contact us. We’ll do everything we can to help you with your project!

Professional Quality Stencils

• Laser cut for precise, crisp design details.
• Reusable & Durable.
• Made of 10 mil coated mylar which resists paint build-up.
• Easy to clean (see How to Clean Stencils).
• Made in the USA

    Stenciling Tools

    Make your project even easier with the proper Stenciling Tools:

    • Repositionable Adhesive Spray for adhering stencils to any surface.
    • High-density Foam Rollers for applying just the right amount of paint.
    • Frog Tape painter's tape for masking off the edges of stencil sheet.
    • Stencil Brushes for painting finer details and dabbing paint into corners.

      How To Stencil

      Check out our blog post for a craft project using this stencil here.

      You do not have to be a professional artist to stencil! Simply follow our How To Stencil steps or How to Stencil Video Tutorials.

      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: 43275830060

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      4.4 ★★★★★
      Based on 13 reviews
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      W
      Verified Purchase
      William P Ross
      Alexandria, 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
      Boise, 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
      Port Orchard, 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
      Alexandria, 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
      S
      Verified Purchase
      Stergios Papadimitriou
      Los Angeles, 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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on August 25, 2018

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