SKU: 2089223803
30 planter pots

30 planter pots Seeley Cube Planter

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Description

30 planter pots Seeley Cube PlanterSeeley Cube Planter 30" Extra Large Planter Box for Trees and Evergreens. Durable Steel Reinforced Fiberglass Block Cube With Drainage Lightweight Commercial Privacy Planter Living Hedge Planter Indoor Tree, Outdoor Trees Fruit Tree, Japanese Maple, Bamboo and More. Seeley. Where clean lines meet modern living. Back in stock 7 10 30" x 30" x 30" Square Box Contract Grade Commercial Grade Matte Black Finish Durable, Bulge proof, Shatterproof Fiberglass

Seeley Cube Planter - 30" Extra Large Planter Box for Trees and Evergreens. Durable Steel-Reinforced Fiberglass Block Cube With Drainage - Lightweight Commercial Privacy Planter / Living Hedge Planter - Indoor Tree, Outdoor Trees - Fruit Tree, Japanese Maple, Bamboo and More.

Seeley. Where clean lines meet modern living.

Back in stock 7/10

  • 30" x 30" x 30" Square Box
  • Contract Grade / Commercial Grade
  • Matte Black Finish
  • Durable, Bulge-proof, Shatterproof Fiberglass
  • With Drainage Holes - Plugs Supplied
  • Lightweight easy to move.
  • Great for Indoor or Outdoor use
  • For Home and Commercial Settings
  • Powder Coat Smooth Matte Finish
  • Weather Resistant. UV Resistant.
  • For All Types of Indoor Trees / Outdoor Trees, Evergreens
  • Plenty of space for healthy roots
  • Front Door and Entrances. Rooftop Deck, Patio, Deck, Poolside, Walkway or End of Driveway, Frame Large Windows
  • Made in India by NMN Designs
  • Available 7/10

30" Seeley Cube Planter – Matte Black Architectural Fiberglass

Create a commanding focal point with the 30" Seeley Cube, a substantial architectural planter designed for spacious modern patios, rooftops, and commercial entrances. Finished in a sleek Matte Black, this planter is the ideal vessel for anchoring large specimen trees or creating high-impact privacy screens. At this specific scale, the choice of material is a critical structural specification. While 30-inch plastic or resin pots inevitably bow and warp under the immense pressure of cubic feet of soil, the Seeley is engineered from heavy-duty commercial fiberglass to maintain its sharp, geometric form.

Preferred by landscape architects and interior designers, the Seeley offers the clean lines and visual weight of custom metal or cast iron work, but with superior weather resistance and manageability. It provides a crisp, permanent foundation that keeps the focus on the foliage and the overall design composition.

Why Fiberglass is Critical for Large 30" Planters:

  • Structural Rigidity (No Bulging): A 30" cube holds a massive volume of soil. Unlike plastic, which softens and bows outward at this size, our reinforced fiberglass walls remain perfectly straight and square.

  • UV-Stable Matte Finish: Black absorbs significant heat. In direct sunlight, black plastic often warps or fades to a chalky grey. This professional-grade finish resists UV damage, retaining its deep, rich saturation.

  • High-End Aesthetic, Manageable Weight: Achieve the sophisticated look of a permanent built-in or heavy metal planter without the logistical nightmare. It is tough and shatterproof, yet light enough to be positioned by hand during installation.

  • All-Season Durability: Designed to withstand the freeze-thaw cycles that crack ceramic and the intense heat that degrades plastic, ensuring a long-term solution for both indoor and outdoor specifications.

Planter Box - Outdoor for Trees, Shrubs and Plants

The Seeley fiberglass planter box features a spacious interior, allowing your plants to grow and thrive without feeling cramped, with plenty of room for healthy roots. Drainage holes help maintain optimal moisture levels. (Plugs included).

Whether you're an interior designer, landscape architect, or home gardener, the Seeley Cube Planter is a must-have addition to your collection. It's versatile, easy to maintain, and can be used to create stunning displays of plants, flowers, and trees that will impress your guests or clients, and serve you well for many years to come.

    Size Specifications
    Also available in 14" - 24" Square. Click here to see smaller sizes.

    • Medium Planter - 14" L x 14" W x 14" Tall 
    • Large Planter - 20” L x 20” W x 20” Tall
    • Extra Large Planter - 24" L x 24" W x 24" Tall
    • XXL Planter - 30" L X 30" W X 30" Tall  (Black Only)

    Internal dimensions are 1/2" less for L x W x H

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    Shipping Notes
    • Free Standard Shipping on $100+ Orders to the USA.
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    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]
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    SKU: 2089223803

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    4.5 ★★★★★
    Based on 7 reviews
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    Verified Purchase
    William P Ross
    Whiting, 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
    Lowell, 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
    Phoenix, 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
    Los Angeles, 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
    Draper, 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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