SKU: 70540538320
african fiddle leaf fig

african fiddle leaf fig Fiddle Leaf Fig

$18.68 $20.75
Save 10%
No.2 Bestseller on virtipatel.com >

Pay in installments of $5.19 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 17 - Jul 22

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

african fiddle leaf fig Fiddle Leaf FigFicus Lyrata Fiddle Leaf Fig (Standard Form) "Standard" means it has a single stem that is bare on the bottom with only foliage at the top. NOTE: We do not ship plants. You can only purchase for a "pick up" order. Sizes: 10" Pot at 3 4ft Tall 12" Pot at 4 5ft Tall 14" Pot at 5 6ft Tall 14" Pot at 6. 5 7ft Tall *measurements are taken from the ground up (including the planter) Growing Tips Fiddle Leaf Figs need lots of bright light. They can even

Ficus Lyrata - Fiddle Leaf Fig (Standard Form)

"Standard" means it has a single stem that is bare on the bottom with only foliage at the top.  

NOTE: We do not ship plants.  You can only purchase for a "pick-up" order. 

Sizes:

10" Pot at 3-4ft Tall

12" Pot at 4-5ft Tall 

14" Pot at 5-6ft Tall

14" Pot at 6.5-7ft Tall

*measurements are taken from the ground up (including the planter)

Growing Tips 

🌤️ Fiddle Leaf Figs need lots of bright light.  They can even withstand and thrive with direct sun.  In tropical regions you can often see them being used as street trees, backyard trees, and even out in their natural environment. 

🏠 With that being said, if you have a Fiddle indoors they will usually do best directly in front of a window or within 4 feet from a south or west facing window.  If you have a north or east window you will want to keep it close to that window and be sure to keep the curtains/blinds open. 

💦Fiddles like to slightly dry between waterings.  If you let it get bone dry and leave it that way for too long you might start to see yellowing to crispy brown leaves.  Water to evenly moisten the soil but not to leave it overly soggy - aim for your plant to need water once per week.

TIP #1  When watering always keep in mind the season and temperature of your home.  You will need to adjust with regards to these environmental factors.   

TIP #2  Use some sort of way to measure the amount of water you are giving your plant so that you know how much to increase or decrease next time if needed.

TIP #3  Water your plants in place with a saucer under them.  This allows your plant a chance to soak up the water.  After a couple hours if there is still water in the saucer you can dump this out and this will also tell you how much water you can cut back next time. 

TIP #4  Try to water on a weekly basis, this will help to keep you consistent and to at least check on your plants once a week. 

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: 70540538320

Discover Niche Categories That Outsell african fiddle leaf fig

Top-Converting Item to Boost Your Average Order

4.5 ★★★★★
Based on 5 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
W
Verified Purchase
William P Ross
Alexandria, 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
West Palm Beach, 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
Grantham, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Belleville, 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
Fort Morgan, 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

recommand products

Bugaboo Cup Holder
23.27
Bugaboo Cup Holder Adapter Set
23.59
Bugaboo Cup Holder
20.45
Bugaboo Fox 5 Renew Maxi-Cosi Travel System in Heritage Black
22.01
Bugaboo Harness Straps Comfort Harness
21.23