SKU: 31625598952
kokedama money tree

kokedama money tree Money Tree, Pachira Kokedama

$19.52 $21.69
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Ships within 48 hours · Estimated delivery Aug 13 - Aug 18

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Description

kokedama money tree Money Tree, Pachira KokedamaOne of the most enduring kokedama in our collection. This is a live money tree that is potted in a proper mixture of soil and moss to help in growth and plant life. Kokedama (pronounced "Ko Kay Da Ma") is a carefully crafted plant that emerges from a ball of soil covered with moss. The moss retains moisture in the soil, promoting eco friendly watering practices and ensuring the plant remains healthy and vibrant. Indoor plants like Kokedama offer a

One of the most enduring kokedama in our collection.This is a live money tree that is potted in a proper mixture of soil and moss to help in growth and plant life. 

♥Kokedama (pronounced "Ko Kay Da Ma") is a carefully crafted plant that emerges from a ball of soil covered with moss. The moss retains moisture in the soil, promoting eco-friendly watering practices and ensuring the plant remains healthy and vibrant. Indoor plants like Kokedama offer a multitude of benefits, including air purification, aesthetic enhancement, and stress reduction.


The package will include detailed care instructions, but here's a general overview of kokedama care you should be aware of. Keep in mind that each plant has specific requirements, and environmental factors vary. It's advisable to study and tailor the care to your specific environment.


1) Water your kokedama moderately by pouring 1/2 to 1 cup of water at the bottom part (less than 1 inch), allowing it to absorb. Wait for 5-10 minutes, and the ball will absorb all the water. Since our kokedama uses preserved moss, there's no need to water the moss. Repeat when the moss ball shows signs of drying out.

2) Adequate light is crucial. Most house plants thrive in bright, indirect light.

3) Shower kokedama with your love, but be cautious not to overwater. (Overcare😁)


There is no calendar date to treat plants (i.e. how often should watered), general care is enclosed in the package however each environment/climate is different that plants need to be adjusted with your climate.


♥Give the gift to special person that just keeps on growing. A lovely moss art installation.

♥My hope is that every owner experiences and preserves the tranquil mindset and positive energy emanated by this petite forest spirit ball.

♥ If you like to add specific saucers, gift wrapping, or keep up with green moss, please add them to your order.

♥Please be careful not to leave the package hot or cold weather outside for long time. They are live plants.

♥After you receive your Kokedama package:
Please be careful not to leave the package outside for long time, they are live plants. 


After you receive your kokedama package, please read the plant care instruction and follow them, some plant loves moist, some loves being dry out before water. Kokedama has been water enough to be healthy during the shipment.

⭐︎Handling and shipping policy :
Ship your order by USPS Priority Mail Class with a tracking ID. Each Kokedama order is made to order. 


If the plants was damaged during the shipment, please request for the refund within a day of arrival with the picture. 

I can not accept the claim to be refund after 3-4 days later of shipment for the reason that you may be overwatered or placed in unpleasant location for plants.

In the hot/cold weather time: I recommend to purchase thermal pack to ensure the plants health during the shipment.
Please add "Thermal package" from package section.

It is your responsibility to track the shipment and open the package as soon as the package arrive. Tracking information will be sent by email.


Items are only listed to ship to the United States only.

Remember that we can not ship plant to Hawaii and Alaska according to USDA regulation.  Any order you request to Hawaii and Alaska needs to be canceled.


Thank you for your understanding, it is all for you and Kokedama's happiness:) 


Warm Regards,


Kokedama Maker : Kanako Yamada


Follow us 

Instagram @kodamaforest 

Facebook: https://www.facebook.com/kokedamabykodamaforest

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SKU: 31625598952

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4.4 ★★★★★
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Verified Purchase
William P Ross
Charlottesville, 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
Bozeman, 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
Louisville, 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
Cuba, 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
Omaha, 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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