Pay in installments of $7.13 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 12 - Aug 17
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
esqueleto monstera Esqueleto Monstera – Plant DetectivesEsqueleto Monstera (Monstera 'Esqueleto') Esqueleto Monstera (Monstera 'Esqueleto') is a collector favorite climbing aroid known for its oversized leaves and dramatic, open fenestrations that give it a bold, architectural look indoors. As the plant matures, the foliage develops large cutouts and splits that create a striking, airy silhouette on a moss pole or trellis. The overall effect is lush but sculptural, making it a natural fit for modern
Esqueleto Monstera (Monstera 'Esqueleto')
Esqueleto Monstera (Monstera 'Esqueleto') is a collector-favorite climbing aroid known for its oversized leaves and dramatic, open fenestrations that give it a bold, architectural look indoors. As the plant matures, the foliage develops large cutouts and splits that create a striking, airy silhouette on a moss pole or trellis. The overall effect is lush but sculptural, making it a natural fit for modern interiors where you want a living statement piece without relying on flowers. Trained upright with support, it becomes a tall focal point that adds height, texture, and a strong tropical presence in bright, indirect light.
Distinctive Features
The standout feature is the extreme fenestration, with large openings that make the leaves look almost lace-like as they size up. Leaves are thick and richly green, and the plant rewards consistent care with bigger, bolder foliage over time. Like many climbing monsteras, it responds strongly to a moss pole, producing larger leaves and tighter, more impressive growth as it attaches and climbs. Its dramatic leaf shape also makes it an excellent contrast plant, pairing well with smoother-leaved houseplants and clean-lined decor.
Growing Conditions
- Light: Bright, indirect light; tolerates medium light but grows slower and may fenestrate less.
- Soil: Chunky, well-draining aroid mix that holds light moisture while allowing airflow to roots.
- Water: Water when the top 1 to 2 inches of soil are dry; avoid keeping the pot constantly wet.
- Humidity: Average indoor humidity works, but higher humidity supports larger, cleaner leaves.
- Temperature: Prefers warm indoor conditions; protect from cold drafts and sudden temperature swings.
- Growth Habit: Climbing vine; best trained on a moss pole or trellis for larger leaves.
Ideal Uses
- Focal Point: Train on a moss pole to create a tall statement plant with dramatic, fenestrated foliage.
- Collector Displays: A standout aroid for anyone building a rare and unusual foliage collection.
- Corner Accents: Adds height and tropical presence to bright corners near windows.
- Living Room Feature Plant: Brings bold texture and a modern jungle feel to everyday spaces.
- Plant Styling Contrast: Pairs well with fine-textured ferns, glossy philodendrons, and minimalist planters.
Low Maintenance Care
- Watering Rhythm: Let the pot dry slightly between waterings, then water thoroughly and drain well.
- Support: Provide a moss pole or trellis and tie new growth loosely as it climbs.
- Feeding: Fertilize lightly in spring and summer to support steady leaf production.
- Leaf Care: Wipe leaves occasionally to keep them clean and support healthy growth.
- Pruning: Trim leggy growth to shape the plant, and propagate cuttings if you want to expand your collection.
- Repotting: Repot when rootbound, stepping up one pot size and refreshing the aroid mix.
Why Choose Esqueleto Monstera?
- Extreme Fenestration: Large openings create a bold, airy leaf look that stands out immediately.
- Climbing Statement Plant: Grows larger and more dramatic with a moss pole or trellis.
- Collector Appeal: A highly sought-after monstera style for rare plant collections.
- Interior Design Friendly: Adds sculptural texture and a modern tropical vibe to bright rooms.
- Strong Focal Point Value: Delivers big visual impact with foliage alone, season after season.
If you want a climbing monstera with oversized, heavily fenestrated leaves that reads like living sculpture, Esqueleto Monstera delivers bold focal point impact and tropical texture in bright indoor spaces.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.9 ★★★★★
Based on 18 reviews
Sort
Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 21, 2020
★★★★★ 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
★★★★★ 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
★★★★★ 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
★★★★★ 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