SKU: 69309255753
purple necklace succulent

purple necklace succulent Othonna Capensis Ruby Necklace / Ruby Beads – In Succulent Love

$21.38 $23.75
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Description

purple necklace succulent Othonna Capensis Ruby Necklace / Ruby Beads – In Succulent LoveOthonna Capensis Ruby Necklace Ruby Beads Othonna Capensis Ruby Necklace Ruby Beads is a vibrant spilling succulent, that vines! The purple vines of this succulent make for great pops of color in arrangements! Ruby Necklace are vibrant purple & green hued leaves with yellow blossoms when they bloom. This succulent is a perfect 'spilling' plant in arrangements, adding texture, color, and visual components. This succulent is greenhouse grown, so it

Othonna Capensis Ruby Necklace / Ruby Beads

Othonna Capensis Ruby Necklace / Ruby Beads is a vibrant ‘spilling’ succulent, that vines! The purple vines of this succulent make for great pops of color in arrangements! Ruby Necklace are vibrant purple & green-hued leaves with yellow blossoms when they bloom. 

-This succulent is a perfect 'spilling' plant in arrangements, adding texture, color, and visual components. 

-This succulent is greenhouse grown, so it thrives best in bright-light locations with in-direct light. Ruby Necklace can vary in colors as the plant grows. The more sun exposure this plant gets, the more vibrant and rich the purple colors will be.  Since these plants are greenhouse-grown, a slow transition into full sun is best!

Size Options: 

-4in Pots - These are the perfect size for small projects, or starter pots!

-6in Hanging Baskets - This basket is full on top, with a couple small vines starting to trail over the pot.

-6in Very Full Baskets - This basket is very full on top with lots of vines flowing from the sides of the pot. *This type of basket is not as purple upon arrival since it is grown in a more covered greenhouse. It will start to become more purple once transitioned into more light.*

-6in XL & Purple Baskets - This basket is overflowing & very purple in color! 

Gift Notes: 

We can add complimentary gift notes if sending as a gift! Leave a note in the checkout section or send us an email so we can add a gift note! [email protected]

Whether a gift to yourself or a friend, this is the perfect gift for all!

Holiday Shipping Schedule 2022:

For delivery by certain days, please order by: **(only 6in Baskets apply to this shipping time frame! Please order 4in by 5/2 for Mother's Day delivery!)**

Mother's Day (5/15): Order by 5/10

**We will mail these out with 2day & 3day shipping to arrive before before the holiday. After the packages leave our shipping facility, delays may happen, which we are not responsible for. Thank you for understanding!!*

Shipping

-*Ruby Necklace* is a delicate plant, so there may be a couple of leaves that fall off in transit, but we pack these plants up extremely careful! 

-4in Pots will ship bare roots. 

-6in Baskets are shipped in the hanging plastic growing pot with soil. The hanger is taken off to ship easier. Just snap on the hanger when receiving the plant.

**If ordered outside the Continental US (HI, AK, PR), this plant may be shipped bare roots.**

-We carefully package all of our plants with the upmost care. First, we wrap the plants in protective tissue paper, and then with packing paper around the empty edges to ensure safe traveling!

-All of our orders are shipped using USPS or FedEx shipping. Once we package the order, you will receive an email confirmation with the tracking.

-‘Bare roots’ simply means there is none or very little soil on the roots of the succulent. This is to prevent rotting when shipping, and to prevent the succulent getting damaged in the shipping process. 

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
  • If time is of the essence, please consider selecting expedited delivery for faster service.
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: 69309255753

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4.9 ★★★★★
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Zygerian99
Battle Creek, 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
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Shannon
San Leandro, 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
Belleville, 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
Lexington, 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
Belleville, 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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