SKU: 74343834014
bright green snake plants uo

bright green snake plants uo Snake Plant Black Robusta

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Description

bright green snake plants uo Snake Plant Black RobustaBold Variegated Beauty That Thrives on Neglect The Snake Plant 'Black Robusta' is a stunning variety with broad sword like leaves featuring rich dark green with lighter green mottled patterns and horizontal banding that creates a beautiful natural variegation. This architectural beauty is famous for being nearly impossible to kill while looking absolutely striking. It purifies your air while you sleep, tolerates the darkest corners, and can go weeks

Bold Variegated Beauty That Thrives on Neglect

The Snake Plant 'Black Robusta' is a stunning variety with broad sword-like leaves featuring rich dark green with lighter green mottled patterns and horizontal banding that creates a beautiful natural variegation. This architectural beauty is famous for being nearly impossible to kill while looking absolutely striking. It purifies your air while you sleep, tolerates the darkest corners, and can go weeks without water. Perfect for beginners who want something visually interesting that's actually foolproof.

Why You'll Love This Plant:

  • Striking Natural Variegation - Dark green leaves with lighter green mottled patterns and horizontal banding create unique visual interest
  • Nearly Indestructible - Survives weeks without water, extreme neglect, and almost any condition you throw at it
  • Thrives in Low Light - Perfect for dim corners, windowless offices, or rooms with minimal natural light
  • Air Purifying Powerhouse - NASA-proven to remove toxins and release oxygen at night while you sleep
  • Zero Drama - No fussy requirements, no constant attention needed, just bold beauty

Care Instructions

  • Light: Extremely adaptable! Thrives in low light but also tolerates bright indirect light. One of the few plants that truly doesn't mind dark corners or windowless rooms.
  • Water: Water only when soil is completely dry, typically every 2-4 weeks. Prefers to be underwatered rather than overwatered. Can survive 6+ weeks without water if needed.
  • Humidity: Tolerates any humidity level - no misting or special care needed.
  • Feeding: Fertilize once every 2-3 months during spring and summer with diluted liquid fertilizer. Honestly, it's optional - this plant thrives on neglect.
  • Temperature: Comfortable in normal household temperatures (55°F-85°F). Very forgiving.
  • Soil: Use well-draining cactus or succulent mix. Standard houseplant soil works too.

Frequently Asked Questions

  1. What makes 'Black Robusta' different from other Snake Plants?
    The 'Black Robusta' variety has broader leaves with beautiful dark green and lighter green mottled variegation and horizontal banding, creating more visual interest than solid green varieties.
  2. Is this plant toxic to pets?
    Yes, Snake Plants contain saponins and are toxic if ingested by cats or dogs. Keep out of reach of curious pets.
  3. How often should I really water it?
    When in doubt, wait! Snake Plants are succulents that store water in their leaves. They're much happier being underwatered than overwatered. Every 2-4 weeks is plenty.

Perfect For:

Absolute beginners, busy people, frequent travelers, low-light spaces, windowless offices, bedrooms (releases oxygen at night!), anyone who wants bold variegated beauty without the fuss, or as a confidence-building first plant that's guaranteed to succeed.

Bring home this bold beauty today! Each Snake Plant 'Black Robusta' arrives healthy and ready to add striking variegated elegance to your space with minimal effort.

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SKU: 74343834014

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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
Battle Creek, 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
Port Orchard, 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
Lexington, 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
Lake Worth, 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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