SKU: 52435952986
anthurium majestic

anthurium majestic Anthurium Magnificum

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Description

anthurium majestic Anthurium MagnificumAnthurium Magnificum *Anthurium magnificum* velvety heartleaf marvel Fast EU shipping Grown with love in the EU Petsafe (note: mildly toxic to pets if ingestedkeep out of reach) Summary: Deep green, heart shaped leaves edged with dramatic silver veins make this a stunning focal point in any space. Slow growing but long lived, its perfect for a refined, low maintenance vibe in German apartments. Why Youll Love It Striking, velvet textured foliage edged

Anthurium Magnificum — *Anthurium magnificum* — velvety heart‑leaf marvel

Fast EU shipping | Grown with love in the EU | Pet‑safe (note: mildly toxic to pets if ingested—keep out of reach)

Summary: Deep-green, heart-shaped leaves edged with dramatic silver veins make this a stunning focal point in any space. Slow-growing but long-lived, it’s perfect for a refined, low-maintenance vibe in German apartments.

✨ Why You’ll Love It

  • Striking, velvet-textured foliage edged in silver—turns heads in any room
  • Compact—about 35 cm tall (P12 pot), ideal for shelves or side tables
  • Thrives with moderate light and care, great for busy plant lovers
  • Remains elegant year-round—gets more gorgeous with age

🌞 Light & Placement

Prefers bright, indirect light—avoid direct sun to protect leaf pigmentation. Near an east- or north-facing window in your German home is ideal.

💧 Water & Humidity

Water when the top 2 cm of soil feels dry—usually once a week. Appreciates occasional misting or pebbles tray to mimic its natural tropical humidity.

🪴 Soil & Potting

Use a chunky, free‑draining mix rich in organic matter (e.g. bark, peat-free compost). Re‑pot every 2–3 years in a 1–2 cm larger pot to refresh nutrients.

🐾 Toxicity & Safety

Contains calcium oxalate crystals—mildly toxic if ingested by pets or humans. Safe display height or occasional gentle pruning helps keep curious paws and mouths away.

🌱 Growth & Propagation

Slow grower—adds 5–10 cm of leaf height per year under ideal conditions. Propagated via stem division or root cuttings; share plant babies with friends across the EU!

📆 Seasonal & Special Care

In winter (October–March), reduce watering slightly and keep temps above 18 °C. Sensitive to cold drafts—avoid windowsills with chilly breezes.

🐛 Common Issues

  • Yellowing leaves? Usually overwatering—trim affected foliage and let soil dry a bit longer.
  • Brown edges? May signal low humidity—consider a humidifier or pebble tray.
  • Pests like spider mites or mealybugs—treat early with neem spray.

🧬 Botanical Background

Native to Central and South America, *A. magnificum* belongs to the Araceae family. Known for its ornamental leaves, it’s a timeless showpiece among collectors.

🛒 Ready to transform your home into a jungle paradise?

Add Anthurium Magnificum to your cart and enjoy fast, secure shipping across Germany and the EU!

Explore more rare finds or read our plant care guides

Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 52435952986

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4.0 ★★★★★
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Adam
Pawtucket, 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
Dallas, 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
Battle Creek, 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
Lowell, 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.
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Reviewed in the United States on August 25, 2018
S
Verified Purchase
Sabrina
Lowell, US
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected. The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading. If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 23, 2026

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