SKU: 43212928774
variegated zz plant for sale usa

variegated zz plant for sale usa Zamioculcas zamiifolia variegata – Sprouts of Bristol

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Description

variegated zz plant for sale usa Zamioculcas zamiifolia variegata – Sprouts of BristolWe love the ZZ plant and its low maintenance foliage so of COURSE we love this rare variegated version too. The signature glossy, deep green foliage of the ZZ is here contrasted with a pale yellow variegation on the tips of the branches, with the upper leaves being almost entirely yellow with just a hint of forest green veining, and the lower leaves having some smudges of yellow amongst the dark green. Whilst its care needs are mostly similar to its

We love the ZZ plant and its low-maintenance foliage so of COURSE we love this rare variegated version too. The signature glossy, deep green foliage of the ZZ is here contrasted with a pale yellow variegation on the tips of the branches, with the upper leaves being almost entirely yellow with just a hint of forest green veining, and the lower leaves having some smudges of yellow amongst the dark green. Whilst its care needs are mostly similar to its laid back cousin, this ZZ is less tolerant of shade due to the variegation. But as long as you let it get some sun, it'll be happy. Add this super unusual stunner to your collection and admire its gorgeous foliage whilst sitting back and knowing it doesn't need a lot from you.

Scientific Name
Zamioculcas zamiifolia variegata (Zamia's Colocasia (Lotus-root) with Zamia's leaves, variety: variegated)

This plant is the only species in its genus, meaning there are no plants that are very closely related to it!

Common Name
Variegated ZZ Plant, Variegated Zuzu Plant, Variegated Zanzibar Gem, Variegated Aroid Palm, Variegated Eternity Plant, Variegated Emerald Palm

Origin
Native to East Africa, from Kenya to South Africa.

Light
Make sure your variegated ZZ Plant gets some direct sun; due to its high level of variegation, it is less tolerant of low light levels. If you notice new growth has less variegation, you may need to move it to a brighter spot.

Water
The perfect plant for forgetful indoor gardeners, the ZZ Plant likes to dry out fully between waters; make sure it has less water in shadier locations, and water less frequently in winter too.

Humidity
This plant will be fine with low humidity; if it's in a more humid environment, don't mist it or it could start to rot, and otherwise just hose it down to get rid of dust on its leaves as needed.

Soil
Use a well-draining mix, with added sand and grit - similar to cacti, ZZ Plants hate soggy soil. Repot every two years only as necessary; the ZZ Plant would rather move later than too soon.

Food
Fertilise every three months; make sure to water it first so as not to burn your roots!

Temperature
Keep it between 15-25°C; the only point this plant is fussy on is the cold, so keep it indoors and warm!

Pet-safe
No, this plant is toxic to pets and small humans.

Sprouts Top Tips
To keep your plant both looking and feeling healthy, prune off yellowed or dried leaves with sharp scissors or shears.

     

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    Shannon
    Dallas, 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
    Pawtucket, 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
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    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.
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    Reviewed in the United States on May 22, 2026
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    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!!
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    Reviewed in the United States on July 14, 2017
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    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.
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    Reviewed in the United States on May 15, 2018

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