SKU: 51291942822
spider plant in macrame hanger

spider plant in macrame hanger Short & Simple Macrame Plant Hanger - Shan

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Description

spider plant in macrame hanger Short & Simple Macrame Plant Hanger - ShanIntroducing our Short Macrame Plant Hanger a little knot of joy that brings nature right into your living space! Crafted with care from recycled cotton macrame cord and anchored by a sturdy wooden ring, this plant hanger stands at about 25 inches, making it the perfect companion for your shorter green friends. Key Features: Recycled Cotton Magic: Handmade with love and a touch of eco consciousness. Our plant hanger is crafted from recycled cotton

Introducing our Short Macrame Plant Hanger – a little knot of joy that brings nature right into your living space!

Crafted with care from recycled cotton macrame cord and anchored by a sturdy wooden ring, this plant hanger stands at about 25 inches, making it the perfect companion for your shorter green friends.

Key Features:

  • Recycled Cotton Magic: Handmade with love and a touch of eco-consciousness. Our plant hanger is crafted from recycled cotton macrame cord, giving a new life to materials while adding a boho-chic charm to your space.

  • Simple Design, Big Impact: Sometimes less is more, and this short macrame plant hanger proves it. The simple yet elegant design ensures that your plant takes center stage, basking in the limelight of your home.

Compact Beauty for Every Space:

Hang this beauty anywhere – from your kitchen window to your cozy reading nook. At 25 inches, it's the perfect size to add a touch of greenery without overwhelming your space.

Colorful Choices:

Choose from over 20 different colors to match your unique style. Whether you're into calming neutrals or vibrant pops of color, we've got a shade to complement your decor seamlessly.

Size Matters – Just Right:

Ideal for pots ranging from 3-4 inches, this short macrame plant hanger is versatile enough to accommodate smaller pots too. Your tiny succulents and mini ferns have just found their perfect perch!

Why Choose Our Short Macrame Plant Hanger?

  • Affordable Elegance: Elevate your space without breaking the bank. Our short plant hanger brings affordability and elegance together, proving that style doesn't always come with a hefty price tag.

  • Handcrafted for You: Every knot is tied with precision and care, ensuring that each piece is as unique as the greenery it holds. You're not just buying a plant hanger; you're investing in a handmade work of art.

Bring Your Space to Life:

Ready to transform your space into a green haven? The Short Macrame Plant Hanger is not just a hanger; it's an invitation for your plants to dance in the air, soaking in the sunlight and spreading positive vibes.

Choose sustainability, embrace simplicity, and let your plants shine with our Short Macrame Plant Hanger. Explore the colors, find your perfect match, and welcome a touch of nature into your home today!

View more plant hangers here!

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SKU: 51291942822

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4.8 ★★★★★
Based on 23 reviews
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William P Ross
Phoenix, 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
Dallas, 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
Birmingham, 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
Lowell, 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
Port Orchard, 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.
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Reviewed in the United States on August 25, 2018

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