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fiddle leaf fig plants for sale

fiddle leaf fig plants for sale Buy Huge Fiddle Leaf Fig Online | Large Indoor Plant

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Description

fiddle leaf fig plants for sale Buy Huge Fiddle Leaf Fig Online | Large Indoor PlantDescription The fiddle leaf fig brings natural elegance to your home. Its stunning violin shaped leaves transform any room into a sophisticated sanctuary. This West African beauty has won hearts worldwide with its dramatic presence and surprisingly forgiving nature. With those iconic leaves reaching up to 18 inches long, Ficus lyrata creates an instant focal point wherever you place her. Shes an absolute status symbol among modern decorators and plant

Description

The fiddle leaf fig brings natural elegance to your home. Its stunning violin-shaped leaves transform any room into a sophisticated sanctuary. This West African beauty has won hearts worldwide with its dramatic presence and surprisingly forgiving nature.

With those iconic leaves reaching up to 18 inches long, Ficus lyrata creates an instant focal point wherever you place her. She’s an absolute status symbol among modern decorators and plant-lovers. She's traded her wild rainforest home for designer living rooms, and we think she's made the right choice! 

This fiddle leaf fig plant grows steadily at 12-18 inches per year indoors, gracefully reaching 8-10 feet of living sculpture that brings warmth and character to your space.



Care 

Do fiddle leaf figs need direct sunlight? 

Your fiddle leaf fig loves bright, indirect sunlight. She'll appreciate gentle morning sun if you gradually introduce it, but harsh afternoon rays can leave it looking stressed and unhappy. East-facing windows give brightness without overwhelming its delicate leaves.


Is the fiddle leaf fig high maintenance?

We like to think of the fiddle leaf fig as just having clear preferences (but truthfully she is high maintenance). She simply knows what makes it happy and isn't shy about showing you! Once you understand its rhythm, it’s quite the agreeable companion. 

It appreciates consistent care, stable placement (it's not fond of being moved around), and the right balance of water and humidity. Master these basics, and you'll have a stunning statement piece that rewards your attention with years of beautiful growth.


Is the fiddle leaf fig a good indoor plant?

The fiddle leaf fig makes an absolutely wonderful indoor plant for those who appreciate both beauty and purpose in their green companions. It's particularly special because it naturally purifies your air while creating that sophisticated, magazine-worthy look.

Its large, glossy leaves make any room feel more alive and welcoming. It's perfect for bright living rooms, spacious bedrooms, or that corner that's been waiting for something special to bring it to life.


Do fiddle leaf figs like being in a bathroom? 

Fiddle leaf figs love a bathroom with a window because it gives them that perfect combination of humidity and gentle light. The natural moisture from your showers reminds it of its tropical home. Just make sure there's good natural light.


Do fiddle leaf figs need sun or shade? 

Fiddle leaf figs thrive with bright light and gentle protection—bright, indirect sunlight is exactly what makes them happiest. Think filtered sunshine rather than deep shade or harsh direct rays. They need enough light to maintain those gorgeous, glossy leaves.


How do I know if my fiddle leaf fig is happy? 

A content fiddle leaf fig will show you its displeasure through its beautiful, upright posture and those glossy green leaves that seem to shine with health. You'll notice steady new growth and a general sense of vitality about it.


Do fiddle leaf figs need to be by a window? 

Your fiddle leaf fig definitely needs to be near a window that offers bright, indirect light for at least six hours each day to maintain healthy growth. Avoid placing it where cold drafts might reach it during winter—it demands consistency.

Windows facing east work beautifully, offering gentle morning light. South-facing windows can work too if you use sheer curtains to soften the intensity. 


Where should I put my fiddle leaf fig indoors? 

The best spots for your fiddle leaf fig plant are near an east-facing window, in a bright bathroom with natural light, or grouped with other humidity-loving plants to create a lovely little ecosystem. It's happiest at temperatures between 60-85°F (16-29°C).

Avoid high-traffic areas where it might get bumped or jostled, spots near heating vents or air conditioners, and any dark corners where it'll struggle.


How often should I water my fiddle leaf fig? 

Water your fiddle leaf fig when the top 2-3 inches of soil feel dry to the touch—typically once weekly during spring and summer, less frequently in winter. Base your plans on checking the soil rather than following a strict schedule. 

When you do water, give it a slow, thorough drink until water runs from the drainage holes. Consistency is what it appreciates most, helping prevent those dramatic responses it's known for.


Should I mist my fiddle leaf fig? 

Misting your fiddle leaf fig every few days helps create the humid environment it naturally craves, bringing a bit of that rainforest feeling to your home. Use filtered or distilled water to prevent spots on its beautiful leaves. 

You can also place it on a pebble tray filled with water or use a humidifier nearby—it'll appreciate any effort to increase the moisture around it.


Should I put coffee grounds in my fiddle leaf fig? 

Please skip the coffee grounds for your fiddle leaf fig—they can change the soil's pH and sometimes encourage mold growth, which won't make it happy. Instead, stick with a balanced liquid houseplant fertilizer every 1-2 months during spring and summer.


Are fiddle leaf figs sensitive to tap water? 

Fiddle leaf figs are sensitive to the chemicals commonly found in tap water, like chlorine and fluoride. Using filtered water, distilled water, or simply letting tap water sit overnight before using it can make a real difference.


What fertilizer should I use on my fiddle leaf fig? 

A balanced, liquid houseplant fertilizer works wonderfully for fiddle leaf fig fertilizer needs—dilute to half strength and apply every 1-2 months during the growing season. During fall and winter, let it rest without any feeding. It's quite sensitive to over-fertilizing.



Pet-friendly?

The fiddle leaf fig isn't safe for pets, as it can cause oral irritation, drooling, and digestive upset if your curious companions decide to sample its leaves. While it's not severely toxic, it's best to keep it out of reach of both cats and dogs who might be tempted to explore.


Are fiddle leaf figs poisonous to cats?

Fiddle leaf figs can cause oral irritation, excessive drooling, and stomach upset if cats chew on the leaves. The sap can also irritate skin, so it's definitely a "look but don't touch" plant for both you and your feline friends.


Are fiddle leaf figs toxic to dogs? 

Fig leaf trees can cause mouth irritation, drooling, and digestive issues if dogs nibble on the leaves, so consider keeping in a room where your dog doesn't usually spend time, or up high where those exploring noses can't reach.


Factoids

How fast do fiddle leaf figs grow? 

When well cared for, fiddle leaf figs grow at a satisfying pace of 12-18 inches per year indoors, gradually developing into tall living sculptures… or just skip a step and buy our fiddle leaf fig that’s 9-10 feet tall already. Growth depends on consistent light, proper watering, and seasonal changes.

Fiddle leaf figs are most active during spring and summer, taking a natural rest during the cooler months. 


Do fiddle leaf figs clean the air? 

Your fiddle leaf fig does double duty as both a beautiful statement piece and a natural air purifier. It removes common household toxins like formaldehyde, benzene, and trichloroethylene, while adding fresh oxygen wherever you decide to place it.

NASA's Clean Air Study recognized fig plants as effective air cleaners, so it's essentially a living air filter that happens to look absolutely stunning while doing her job.


Do fiddle leaf figs represent anything? 

Fiddle leaf figs symbolize prosperity, abundance, and good fortune. They're also obviously symbols of excellent taste in interior design circles! In feng shui traditions, large leafy plants like the fiddle leaf fig tree represent growth and abundance.


How did fiddle leaf figs get their name? 

Fiddle leaf figs earned their charming name because of their distinctive violin-shaped leaves. It got its botanical name Ficus lyrata because of the lyre, a stringed instrument similar to the fiddles that are played in folk music.



Buy a Fiddle Leaf Fig

The Fiddle leaf fig is perfect for plant parents who appreciate both beauty and character. Give it what it needs, and it’ll reward your care with years of gorgeous growth and undeniable style. You can even choose one of the Full or Huge sizes on a call with our experts. 

Our fiddle leaf fig trees make stunning statement pieces that start conversations and pull in admiring glances with their graceful presence and air-purifying benefits.

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Kirsten
Massapequa, 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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Pawtucket, 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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Zygerian99
Pawtucket, 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
Grantham, 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
Bozeman, 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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