SKU: 25828530994
chlorophytum bonnie

chlorophytum bonnie 3.5”-pot Bonnie Curly Spider Plant, Chlorophytum comosum, Airplane Pla – Wonderland Flora

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Description

chlorophytum bonnie 3.5”-pot Bonnie Curly Spider Plant, Chlorophytum comosum, Airplane Pla – Wonderland FloraWhat you will get You will receive a Bonnie spider plant growing in a 3. 5" pot. Description Spider plant (Chlorophytum comosum), also known as airplane plant, is a perennial herbaceous house plant. The plant is extremely easy to grow and are excellent for new gardeners or those lacking a green thumb. Fun Points Bonnie spider plant has a leaf color pattern similar to the Vittatum variety but the leaves curl and bend. 1. Very decorative. While pure

What you will get

You will receive a Bonnie spider plant growing in a 3.5" pot.

--------------------

Description

Spider plant (Chlorophytum comosum), also known as airplane plant, is a perennial herbaceous house plant. The plant is extremely easy to grow and are excellent for new gardeners or those lacking a green thumb.

Fun Points

Bonnie spider plant has a leaf color pattern similar to the Vittatum variety but the leaves curl and bend.

1. Very decorative. While pure green varieties are present, the most common spider plant varieties are in a striped green-and-white variegated form. Their energetic, ever-thriving and vibrant looking adds a lively component to your home and office. The curly variety has a special looking and is compact suitable to smaller space.

2. Special and unique plantlets. Spider plants are very special and interesting because of the way of baby spiders (plantlets or spiderettes) growing on the tips of the branching stolons (creeping horizontal stem or runner) dangling from the mother spider plant. In nature, a spiderette starts to develop adventitious roots when it becomes enough large or touches the soil. Baby spiders can also be rooted very easily after cutting off from the stolons.

3. Proven air cleaners. Spider plants are proven air cleaners. When you send a spider plant to a relative or friend, you not only send him/her such a gorgeous gift but also a health guard.

Growing tips.

1. Soil: Spider plants grow the best in fast-draining and well-aerated potting media. The plants may still grow well even if their tuberous roots fill a large portion of the potting space.

2. Light: Spider plants prefer bright indirect light and may grow well under partial direct sunlight, especially when the weather is cooler.

3. Temperature: Spider plants like cooler temperature with an optimal temperature range of 55 and 80°F. Temperature below 50°F should be avoided.

4. Water: Although spider plants can stand in dry or wet soil for quite a while, it would be ideal to keep the soil evenly moist, not too dry or too wet. Make sure to water the pot thoroughly every time.

5. Feeding: Although not very demanding, spider plants may grow better if fertilized during the growing season. Once in a month with a liquid fertilizer at the recommended strength would be sufficient for your plant health.

Special care: Spider plants prefer a semi-pot bound environment. Repotting becomes necessary if their fleshy roots are filling most of pot space and watering becomes difficult. The plant may be divided when repot if it is very large and divisions at the bottom are evident.

Spider plants are sensitive to the fluoride in tap water. Using tap water may also result in minerals building up. If you see your plant having brown leaf tips, it is likely due to too much fluoride and/or salts building up. This may be taken care of by soaking the pot or water it thoroughly a few times with a large amount of water.

Shipping:

Plants are shipped with pots. We offer different shipping methods at checkout.

MOVING YOUR PACKAGE ALONG:
If you notice your package is stuck somewhere during transit, filing an update request on your tracking page may help move your package along. You may also notice us to add such a request from our side.

AVOID DAMAGE:
We take very effective packaging measures to prevent your plants from damages. When the temperature is below freezing point at any transit points, it is important to add one or more heat packs in your order (depending on your package size) to protect your plant from cold damage:

It is also critical to take your package inside promptly upon delivery when it is hot or cold. Heat may accumulate and damage your plants if the package is left under the sun even if the temperature is relatively mild.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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Exchange/Return Notes
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SKU: 25828530994

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4.5 ★★★★★
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Verified Purchase
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
Omaha, 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
Pawtucket, 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
San Leandro, 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
Chelsea, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 25, 2018

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