show me a rubber tree Full Size Rubber Tree STD
SKU: 38758935665
show me a rubber tree

show me a rubber tree Full Size Rubber Tree STD

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Description

show me a rubber tree Full Size Rubber Tree STDDescription Looking for a plant that brings authentic rainforest beauty into your home? Then we cant wait to introduce you to the magnificent Rubber Tree a stunning statement piece that will turn your space into a peaceful botanical retreat. Native to the Amazon rainforests, the Hevea brasiliensis gave the world natural latex. We're here to help you bring this tree into your home, where its impressive presence will definitely be a conversation

Description

Looking for a plant that brings authentic rainforest beauty into your home? Then we can’t wait to introduce you to the magnificent Rubber Tree - a stunning statement piece that will turn your space into a peaceful botanical retreat.

Native to the Amazon rainforests, the Hevea brasiliensis gave the world natural latex. We're here to help you bring this tree into your home, where its impressive presence will definitely be a conversation starter. With smooth bark and wonderfully glossy leaves, this beauty deserves a special (large) place in your plant collection.

Care 

Is a rubber tree a good indoor plant?

The rubber tree needs more space than many houseplants, but we believe it's absolutely worth it for the joy it brings! If you have the ceiling height, this beautiful specimen will become the heart of your room.

Are rubber trees hard to keep alive? 

Your rubber tree will thrive with consistent, loving attention to its basic needs. But it only needs regular care with steady temperatures, watering, and bright light. We promise it's not overwhelming! With our guidance, it will flourish.

This Amazonian beauty rewards dedicated care with years of green happiness, becoming a cherished part of your home and daily routine.

How often should I water a rubber plant? 

We recommend watering your rubber tree when the top 2-3 inches (5-8 cm) of soil feel dry. Think of recreating that perfect rainforest environment - consistently moist but never waterlogged. Check regularly whether it has just the right amount of moisture.

Where should I place a rubber tree in my house? 

Your rubber tree is happiest near an east- or south-facing window with bright, indirect light. We suggest avoiding direct afternoon sun, which can stress the leaves. Finding the perfect spot for your new giant friend is part of the joy! 

Can rubber tree plants live in bathrooms? 

Bathrooms can be wonderful homes for rubber trees! If your bathroom has bright light and enough space for growth, your plant will love the almost-tropical humidity. Make sure there’s proper ventilation, and you’re good to go!

What fertilizer should I use for a rubber tree? 

We recommend feeding your rubber tree with a balanced liquid fertilizer monthly during spring and summer. Think of it as providing loving nutrition for steady, healthy growth. Regular feeding helps your gentle giant plant stay strong and vibrant!

What does rubber tree plant care involve? 

Caring for your rubber tree involves providing bright indirect light, consistent moisture, regular feeding, and occasional leaf cleaning. We see plant care as being a beautiful relationship - the more attention you give, the more your plant flourishes!

Does a rubber tree need sunlight? 

Your rubber tree needs bright, indirect sunlight for at least 6 hours daily to stay healthy and happy. We always recommend filtered light similar to its rainforest home - gentle but consistent throughout the day. Direct afternoon sun can damage leaves.

Pet-friendly?

We care deeply about all family members, including pets. Unfortunately, the rubber tree isn't pet-friendly due to its latex sap containing ficin and other compounds. 

Are rubber tree plants toxic to dogs? 

Rubber trees are toxic to dogs, as their latex sap contains ficin compounds that can cause gastrointestinal upset and oral irritation. If your dog has ingested any part of your rubber tree plant, please contact your veterinarian immediately.

We're here to help you choose pet-safe alternatives if needed, ensuring both your plants and pets can coexist safely.

How toxic is a rubber plant to cats? 

The rubber tree is toxic to cats, potentially causing oral irritation, drooling, and digestive issues. If your cat has chewed on your rubber tree, please seek veterinary care right away. We understand how important pet safety is.

We can recommend beautiful cat-friendly plants that provide a similar impact while keeping your feline friends completely safe.


Factoids

What is the difference between a rubber plant and a rubber tree? 

The rubber tree (Hevea brasiliensis) is the authentic latex-producing species that grows impressively large, while the rubber plant (Ficus elastica) is its smaller ornamental cousin. We're proud to offer you the genuine rubber tree with Amazonian heritage!

Do rubber trees make rubber? 

Your rubber tree (Hevea brasiliensis) is the very species that produces commercial latex for countless products. So you're nurturing a piece of industrial history in your home - a plant that’s shaped the world (and looks great while doing it)!

Does a rubber tree purify air? 

Your rubber tree contributes to air purification through its large leaves, creating oxygen and improving humidity levels. While not the most efficient air purifier, it brings a piece of the Amazon's natural air-cleaning power into your space.

What is the lifespan of a rubber tree? 

With proper care, your indoor rubber tree can live for a truly long time, even several decades! Wild specimens can reach 100 years. We're honored to help you start this long-term relationship with a truly special gentle giant.

Do they still use rubber trees to make rubber? 

Hevea brasiliensis remains the world's primary natural rubber source, with plantations across Southeast Asia producing latex for tires, medical supplies, and so much more. It’s amazing that your houseplant shares DNA with the trees that keep the world moving.

What is the spiritual meaning of a rubber tree? 

The rubber tree symbolizes resilience, adaptability, and abundance - qualities we admire deeply. Indigenous Amazonian peoples considered it sacred because it represented the forest's generosity, while modern interpretations connect it to flexibility in life's challenges and personal growth.

Is the rubber tree fruit edible? 

The rubber tree fruit isn't edible - really they're seed capsules that explode when ripe, naturally dispersing seeds. Your indoor rubber tree rarely fruits, rather focusing its energy on producing those beautiful leaves we all love so much.


Buy a Rubber Tree

We'd love to help you welcome a magnificent rubber tree into your home! This stunning plant brings authentic Amazonian beauty and creates a truly special atmosphere in any large space. Our team is passionate about perfect matches.

Let us guide you through our video shopping experience to find your ideal rubber tree. We'll be with you every step of the way, from selection to delivery to ongoing care. Your space deserves this living piece of botanical history, and we're here to make sure it thrives under your loving care!

 

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SKU: 38758935665

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4.2 ★★★★★
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BlueTeej
Cuba, US
★★★★★ 4
Lots of storage space, great mirrors, has paint scent
Color: White
You can store a lot in this! There are a lot of good things to say about this. It's cute, has tons of mirror space and room to store jewelry, seems pretty sturdy as far as the wood parts go, and could also be used as Barbie furniture for a girl with a little imagination--a perfect armoire! It's the perfect height for a Barbie doll. So, there is space for non-dangly earrings to be placed in holes, a section under that for necklaces or bigger earrings, four small spots on top for necklaces or other chains, a larger section there, five drawers, four long necklace spots to hang them with catch sections underneath, and a space for a lot of rings. There are also eight hangers for short chains or earrings. Quality wise, it is decent, but maybe not fantastic. Most of the wood aspects seem strong and built well, except the part that stores rings comes out completely and can be a tiny bit of a challenge to put back in a way that it fits right. The cardboard inserts are a little flimsy. I think if a child used this and pulled down on one of the necklace holders, it might not spring back into place, and then would be useless after that. The cardboard insert on the top for the stud earrings also seems like it will get misshapen pretty easily. The biggest negative, and is one I am not sure I can get beyond, but time will tell, is the strong paint odor of it. It smells like a bedroom smells immediately after it gets painted--that kind of smell that tells you perhaps you should sleep somewhere else for a night. That smell fades, though. I hope this smell also fades because it seems too strong to give to a child, and this is advertised as for a woman or girl (which I assume is a child.) So, size wise and usage is generally good for this. If the paint smell fades, I will be fully satisfied with it.
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Reviewed in the United States on October 18, 2025
K
Kirsten
Port Orchard, US
★★★★★ 5
Holds a decent amount of jewelry!
Color: Carbonized Brown, Color: Carbonized Brown
I was quite impressed with this little jewelry box. Although it is on the smaller side, it utilizes every bit of the storage space available really well. I’d ultimately love to get a bigger armoire- as it is, this jewelry box contains what I wear most often, but I have a larger collection than this particular jewelry box can hold- my plan is to find a larger jewelry armoire that resembles what my mother had because I loved that one and then passed this one down to my daughter who loves it. For its size, it does absolutely hold a lot. I definitely underestimated how much it would hold. I love that there are drawers and well. I would love to see the ring area hinged so that I don’t have to reposition it when I’m done grabbing my rings, I think it’s a really cool, unique way to approach that particular area. I love that every little bit at this jewelry box is designed to have utility. I hate wasting space and time and I love good organization so it’s been really nice being able to pack as much as I can in there. The top opens up to space for earrings and other miscellaneous items. There are both open and more structured components. And the space for bracelets rotates, which is really nice- I didn’t realize that it rotated and I was a little bit worried that I was gonna constantly knock things down while I was reaching through or something. There is lots of room inside both doors for necklaces, and it fits a lot more than I thought it would. The wood stain is a really pretty kind of ashy natural stain- the sort of grey tint is really nice and it’s gorgeous. I’m not a huge fan of mirrors as far as the front goes, but I do have an artist in house who is really good at coming up with stuff for this, just a little ways to put art in your every day, so I’ll probably have her paint over. The jewelry box also doesn’t take much space up at all. While I am looking for something with a little bit larger footprint, I don’t necessarily want to waste a bunch of real estate in the meantime so I’m really pleased with how compact it is. This is a great little jewelry box - as I mentioned it doesn’t house all of my jewelry, but that’s because my collection is mostly heirloom and I don’t want to take it out from where it is right now. If it were larger, I would probably do so but for now it just houses my everyday items and a little bit extra. I think it’s great and I’m super happy with it!
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Reviewed in the United States on March 17, 2026
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0x00000000:00000000
Massapequa, US
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier. Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas. However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon). As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful. Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics). I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book. In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017
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Verified Purchase
Zygerian99
Los Angeles, 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
S
Verified Purchase
Shannon
Battle Creek, 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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