SKU: 68058836420
succulent planter drainage hole

succulent planter drainage hole 3pcs Ceramic Succulent Planter with Drainage Hole & Tray

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Description

succulent planter drainage hole 3pcs Ceramic Succulent Planter with Drainage Hole & TrayImagine waking up to the gentle touch of natural beauty in your home, where every element tells a story of craftsmanship and care. Our Ceramic Succulent Planter is more than just a decorative piece; it's a haven for your plants and a reflection of your commitment to sustainable living. Artisan Craft Meets Modern Living Drainage Hole & Tray: Ensures your succulents stay healthy by preventing waterlogged soil, while the tray catches any excess water,

Imagine waking up to the gentle touch of natural beauty in your home, where every element tells a story of craftsmanship and care. Our Ceramic Succulent Planter is more than just a decorative piece; it's a haven for your plants and a reflection of your commitment to sustainable living.

Artisan Craft Meets Modern Living

  • Drainage Hole & Tray: Ensures your succulents stay healthy by preventing waterlogged soil, while the tray catches any excess water, making it easy to keep your space clean and tidy.
  • Ceramic Construction: Provides a durable and long-lasting home for your plants, with a natural, earthy aesthetic that complements any interior design.
  • Handcrafted Details: Every planter is meticulously crafted by skilled artisans, resulting in unique, one-of-a-kind pieces that add character to your space.

The beauty of our Ceramic Succulent Planter lies not just in its form, but in the story it tells of tradition, sustainability, and the human touch. Each piece is handmade by artisans who pour their heart and soul into every detail, using techniques passed down through generations. This dedication to craft, combined with the use of high-quality, eco-friendly materials, results in a product that not only enhances your daily life but also contributes to a more sustainable future.

Specifications
Material: Ceramic
Dimensions: 6 inches in diameter, 4 inches in height
Weight: 2 pounds
Care: Water plants sparingly, avoiding overflow, and wipe the planter clean with a damp cloth as needed.
Origin: Handcrafted by Artisans in Mexico

From the Heart of Tradition – The House of Avana Story
At House of Avana, we believe in bridging worlds - honoring handmade traditions while designing for modern homes. Each piece carries the heartbeat of an artisan and the soul of sustainable living.

The Artisan Story from House of Avana
Meet Maria Rodriguez, a skilled ceramic artisan from a small village in Mexico, who dedicates her life to preserving the traditional craftsmanship of her ancestors. Despite the challenges of a rapidly changing world, Maria remains committed to her craft, infusing every piece with love, care, and a deep connection to the natural world. Her story, like that of many artisans, is one of resilience and passion, and it is through their work that we experience the true essence of handmade beauty.

By choosing our Ceramic Succulent Planter, you not only bring a piece of artisanal craftsmanship into your home, but you also support the livelihood of talented individuals like Maria, contributing to a cycle of sustainability and tradition that enriches us all.

Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 68058836420

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4.8 ★★★★★
Based on 23 reviews
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Verified Purchase
William P Ross
Omaha, 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
Whiting, 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
San Leandro, 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
M
Verified Purchase
mackster
Fort Morgan, 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
Bozeman, 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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