SKU: 11089458534
raised indoor plant pot

raised indoor plant pot NMN Designs Knox Stainless Steel Pot Planter; Medium

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Description

raised indoor plant pot NMN Designs Knox Stainless Steel Pot Planter; MediumKnox Cylinder Planter w Base Organic Modern Architectural Grade Indoor Round Stainless Steel Metal Plant Pot, Raised with Hardwood Base, For Indoor Plants. Fiberglass Lining. 12" or 18" Round Pot. Elevate your space with a touch of modern and contemporary elegance. Available in Two Colors: White and Brushed Stainless Steel Finishes Ultra Heavy Duty 18 8 Gauge Stainless Steel Rolled steel edges for a touch of elegance and upscale finish. Beautiful Wood

Knox Cylinder Planter w/ Base - Organic Modern / Architectural Grade Indoor Round Stainless Steel Metal Plant Pot, Raised with Hardwood Base, For Indoor Plants. Fiberglass Lining. 12" or 18" Round Pot.

Elevate your space with a touch of modern and contemporary elegance.

  • Available in Two Colors: White and Brushed Stainless Steel Finishes
  • Ultra Heavy-Duty 18/8 Gauge Stainless Steel
  • Rolled steel edges for a touch of elegance and upscale finish.
  • Beautiful Wood Base with Walnut Finish (made in the U.S.A.)
  • Durable Waterproof Fiberglass Lining. Sturdy Base.
  • Great for Indoor Plants. 
  • UV Resistant. 
  • Contemporary Round Planter Pot Styling. Modern and Architectural.
  • For All Types of Plants and Small Trees
  • For Home and Commercial Settings (Commercial Grade)
  • Can be Drilled for Drainage Holes
  • Small Pot - 15.5" Tall x 12” Diameter 
  • Medium Pot - 22.5” Tall x 18" Diameter
  • Made in India (pot) U.S.A. (base) by NMN Designs

Introducing the Knox Cylinder Planter, a Stylish Modern Round Stainless Steel Planter – the ultimate addition to elevate your indoor space with a touch of contemporary elegance. Expertly crafted from high-quality, rust-resistant stainless steel, this planter is both durable and stylish, providing the perfect home for your favorite plants, greenery, and even small trees.

The hardwood base enhances the appeal of the planter. This robust and stylish base adds an extra layer of sophistication by juxtaposing the sleekness of stainless steel with the warmth and natural texture of hardwood. Specifically designed for indoor use, the finely finished base brings an added touch of elegance and charm to your interior space, ensuring your planter remains a statement piece for years to come.

Choose from two stunning finishes, brushed stainless steel or a crisp, clean white allowing you to seamlessly blend it into your existing decor.

Exceptional Durability and Quality

  • Material Grade: Made with 304 (18/8) stainless steel, which contains high nickel content to prevent pitting and rust, unlike lower-grade 201 steel.

  • Structural Integrity: Features 18-gauge wall thickness, providing commercial-strength resistance against denting, warping, or bowing under heavy soil loads.

  • Safety Profile: A non-leaching, non-reactive material safe for organic vegetables and herbs.

Two Sizes. Small 12" Round, or Medium 18" Round

Available in two versatile sizes, from a compact 12-inch round (15.5" tall) or a medium 18-inch round (22.5" tall), these sleek stainless steel metal planters cater to the needs of any space, in fine homes or commercial settings. These sizes allow you to accommodate a variety of plants, allowing you to mix and match for the perfect arrangement.

Indoor Planter Pot - Without Drainage

The stainless steel metal planters with wood base are suitable for indoor use, offering you the flexibility to enhance your living room or office with a touch of modern charm. The sleek and polished design of the planter effortlessly complements any decor style.

To accommodate your specific drainage preferences, these planters can be drilled for drainage holes, allowing for optimal plant health and longevity. Alternatively, you can opt for the popular pot-within-a-pot technique, giving you the convenience of easily swapping out plants and reducing the need for repotting.

Available in 2 cylinder sizes to fit plants from small plants and greenery to tall and large plants.

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    SKU: 11089458534

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    4.1 ★★★★★
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    Zygerian99
    Charlottesville, US
    ★★★★★ 5
    The definitive guide to becoming a researcher in the field
    Format: Hardcover
    This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on January 21, 2020
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    Shannon
    San Leandro, 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!!
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    Reviewed in the United States on November 30, 2025
    W
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    William P Ross
    San Leandro, 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
    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

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