SKU: 1865496239
potted plant

potted plant Tall Modern Planter Pot, Tapered Square Design

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Description

potted plant Tall Modern Planter Pot, Tapered Square DesignTall Modern PVC Pot Planter, Tapered Square Design The Tapered PVC pots are a sleek modern take on a decorative pot. Minimalist in style, the slight taper inward gives the pot character and guides the eye up towards the main attraction, your new plant. This unique square shape tall planter compliments any home, patio dcor, or commercial setting, It features a sleek, modern style that will complement a wide variety of interior design styles. This

Tall Modern PVC Pot Planter, Tapered Square Design

The Tapered PVC pots are a sleek modern take on a decorative pot. Minimalist in style, the slight taper inward gives the pot character and guides the eye up towards the main attraction, your new plant.

This unique square shape tall planter compliments any home, patio décor, or commercial setting, It features a sleek, modern style that will complement a wide variety of interior design styles. This modern tall planter fits attractively in corners, next to tables, on staircases or to adorn entryways. The tall, slender design could support medium to large plants and floral arrangements without being too obtrusive.

Its exceptional weather-resistant capability and light weight allows you to use it indoors or outdoors as desired. The concept behind the design of this planter is to eliminate the need to replant, simply drop in your favorite tropical plants to decorate your living room, or simply place it on an outdoor area like a balcony, patio, or porch.

This planter has no inner liner plant support and no drainage holes, which acts a saucer or bottom tray which collects excess water runoff. The planter design is a perfect fit for plants that are grown in 14 to 15-inch wide grower pots, about 7gal size.

This design is ideal for dropping in your existing or newly purchase potted plant in its original nursey pot. Dropping in the potted plant is a much simpler process, no mess, no need to add additional soil, no replanting is needed, when owning multiple pots of this size moving plants from patio to indoors is as simple as pulling the plant out and dropping it in a different area, allows for easy exchange and rotation of plants and change of styles with the seasons. The decorative pot is much more effective in catching excess water and keep your new plant happy. Everybody wins!


WATER MANAGEMENT

How Do I Use A Pot When It Has No Drainage Holes? Water management is the key, most plants we supply don't like to sit in excess water, we recommend less than one inch of water a the bottom section of the pot to be acceptable, similar to how a saucer collects excess water runoff. Frequency for watering should be between 4-7 days, when watering the plant try a cup of water, water very slow and spread the water evenly around the soil, this process allow the soil to absorb much of the water and prevent runoff. Monitor runoff amount at bottom of the pot for a few weeks and adjust amount of water as needed. In the event excess water accumulates above the inch threshold at the bottom of the pot we do recommend to empty it out, if at the inch mark reduce watering until it is absorbed by the plant.


    Display Image Setting: Areca Palm and Lady Palm in 5gal 4-5ft High (Plant not Included)

    Planter Size: 3 feet High, 20 Inches Wide at the top, 17 Inches wide at bottom

    Weight: 15 Pounds

    Finish: Low Gloss, Available in White, Charcoal, Bronze

    Drainage Holes: No

    Drop In: Yes

    Use: Indoor, Outdoors, Patio

    Material: PVC

    Warranty: Yes 30 days satisfaction guarantee


    WHY PURCHASE PLANTS OR PLANTERS FROM EUREKA FARMS

    • We offer exceptional service and attention to quality.
    • We grow and care for our plants, from beginning to end.
    • We promise to ship plants that are healthy and beautiful.
    • We carefully inspect, wrap and secure the pot for a save journey to you.

    • Buy with confidence, we offer a 30 days satisfaction guarantee.

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      Exchange/Return Notes
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      SKU: 1865496239

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      Zygerian99
      West Palm Beach, 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.
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      Reviewed in the United States on January 21, 2020
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      Shannon
      Draper, 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
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      William P Ross
      Fort Morgan, 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.
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      Reviewed in the United States on March 15, 2017
      A
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      Adam
      Alexandria, 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.
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      Reviewed in the United States on May 22, 2026
      A
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      Amazon Customer
      Charlottesville, 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!!
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      Reviewed in the United States on July 14, 2017

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