SKU: 29343442615
large contemporary plant pots

large contemporary plant pots Faccia Contemporary Garden Planter

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Description

large contemporary plant pots Faccia Contemporary Garden PlanterPhysical color samples available. Please contact us for more information. Faccia Contemporary Garden Planter Specifications: Available in 3 sizes Sold Separately Large Dimensions: 22"L x 22"W x 14"H Weight: 90 lbs. Medium Dimensions: 16"L x 16"W x 10"H Weight: 40 lbs. Small Dimensions: 11. 5"L x 11. 5"W x 7"H Weight: 20 lbs. Shown in Greystone (GS) Due to the nature of concrete there is very little that can go wrong with it as long as it's properly

Physical color samples available.  Please contact us for more information.

Faccia Contemporary Garden Planter Specifications:

  • Available in 3 sizes - Sold Separately
  • Large Dimensions: 22"L x 22"W x 14"H - Weight: 90 lbs.
  • Medium Dimensions: 16"L x 16"W x 10"H - Weight: 40 lbs. 
  • Small Dimensions: 11.5"L x 11.5"W x 7"H - Weight: 20 lbs. 
  • Shown in Greystone (GS)

Due to the nature of concrete there is very little that can go wrong with it as long as it's properly cared for. For this reason Campania does not offer a warranty for their products. Our 15+ years of experience has shown that Campania's products are more than capable of withstanding the test of time. These products are designed to last well over 40 years, and will as long as proper care is provided for them.

Faccia Contemporary Garden Planter Features:

  • Makes a beautiful focal point for your garden setting, either filled with beautiful blooms or greens, or left empty as a wonderful accent piece
  • Manufactured with a high density cast stone mix
  • Comes with a drain hole approximately .75" in diameter
  • Available in your choice of classic and distinct finishes
  • Finish/Stain is hand applied by trained artisans
  • Features unique designer detail and superior craftsmanship
  • Weathers naturally outdoors
  • Made in the USA

Chic, modern and definitely eye-catching, the Faccia Contemporary Garden Planter is, without a doubt, a conversation starter. Featuring an artistic rendition of the lower half of a human face, the Faccia Garden Planter comes in three sizes that you can choose from and can be filled with a wide variety of plants from colorful blooms to fascinating creepers. Get your creative juices flowing with this artsy and bold piece.

In the winter, if a planter is to remain planted, it should be raised up off the ground making sure not to block the drainage hole. This allows the planter to drain and will prevent the planter from freezing to the ground. If the planter is not to be planted, it should be brought inside a garage or shed. If this is not possible, follow the steps above, but turn the planter upside down to prevent it from filling with snow and ice. It should then be covered or wrapped with burlap or any absorbent material (old blanket/towel) and then wrapped with dark plastic to prevent it from accumulating moisture.

Campania proudly manufactures its cast stone products in the USA using locally sourced materials. All of our cast stone pieces are manufactured using the wet casting technique with a proprietary high density cast stone mix, yielding a PSI strength of approximately 7,500. The mix is comprised primarily of water, sand, stone aggregate and cement. Our cast stone products may qualify for LEED credits as applicable to your project. Cast stone produces a strong and durable product that will weather naturally in an outdoor environment. Simply stated, cast stone is chosen for its beauty and authenticity. Our material is natural, authentic, made in the USA, and 100% recyclable.

NOTE: All of our patinas are hand applied in a multi-step process which produces unique and beautiful surface finishes. Designed to replicate the look of naturally aged materials, the patinas will not prevent the natural aging process that occurs in an outdoor environment. Rather than creating uniform stains, our approach gives our products their unique beauty and appeal.

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
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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]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 29343442615

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4.1 ★★★★★
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Zygerian99
Louisville, 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
S
Verified Purchase
Shannon
Los Angeles, 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
Verified Purchase
William P Ross
Charlottesville, 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
Verified Purchase
Adam
Grantham, 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
Verified Purchase
Amazon Customer
Boise, 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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