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Description
prayer plant chlorosis Prayer Plant – Plant DetectivesPrayer Plant (Maranta leuconeura) Prayer Plant (Maranta leuconeura) is a classic indoor foliage plant grown for its patterned leaves and the gentle daily movement that gives it the name. The leaves lie flat during the day, then lift and fold upward in the evening, adding a subtle rhythm that makes it feel alive in a room. Rich green foliage is often marked with contrasting veins and decorative blotches, creating a collected, curated look even when the
Prayer Plant (Maranta leuconeura)
Prayer Plant (Maranta leuconeura) is a classic indoor foliage plant grown for its patterned leaves and the gentle daily movement that gives it the name. The leaves lie flat during the day, then lift and fold upward in the evening, adding a subtle rhythm that makes it feel alive in a room. Rich green foliage is often marked with contrasting veins and decorative blotches, creating a collected, curated look even when the plant is small. With a low, spreading habit and a soft trailing form over time, Prayer Plant works as an easy focal point on shelves, side tables, and plant stands while still pairing well with other houseplants.
Distinctive Features
The standout feature is the leaf movement, which is especially noticeable in consistent indoor conditions and adds a fun, interactive quality to everyday plant care. Leaves have a smooth, velvety look with strong patterning that reads well from across a room and looks best in bright, indirect light. The plant naturally grows outward rather than upward, making it ideal for low planters, shallow bowls, and hanging baskets where stems can drape. It is a strong choice for plant lovers who want bold foliage without needing high light or constant fuss, as long as moisture and humidity are kept steady.
Growing Conditions
- Light: Bright, indirect light is best; tolerates medium light, but avoid direct sun that can scorch leaves.
- Soil: Loose, well-drained indoor potting mix with added perlite or bark for airflow.
- Water: Keep evenly moist, letting the top inch of soil dry slightly before watering again; do not let it sit in water.
- Humidity: Medium to high humidity helps keep leaf edges clean; use a humidifier or pebble tray if air is dry.
- Temperature: Prefers 65 to 80 F; protect from cold drafts and sudden temperature swings.
- USDA Hardiness Zones: 11 to 12 outdoors; grown as an indoor houseplant in colder regions.
- Habit: Low, spreading, and trailing foliage plant.
- Mature Size: About 8 to 12 inches tall with a spread of 12 to 24 inches or more over time.
Ideal Uses
- Focal Point: Use the patterned foliage as a standout feature on a table, shelf, or plant stand.
- Hanging Basket: Let stems trail for a soft, cascading look in bright corners.
- Bathroom Planting: A great fit for bright bathrooms where humidity supports clean leaf edges.
- Bedroom and Office Greenery: Adds a calm, decorative presence in spaces with steady indirect light.
- Mixed Houseplant Groupings: Pair with solid-leaf plants to make the leaf pattern pop.
Low Maintenance Care
- Watering Routine: Water thoroughly, then drain excess; consistent moisture is key, especially in spring and summer.
- Humidity Support: Increase humidity in winter or heated rooms to reduce browning on leaf tips.
- Feeding: Feed lightly every 4 to 6 weeks in spring and summer with a balanced houseplant fertilizer at half strength.
- Pruning: Pinch stems to encourage fuller growth and trim leggy runners to keep the plant dense.
- Repotting: Repot every 1 to 2 years or when roots fill the pot; refresh soil to keep growth strong.
- General Note: If leaves curl or look dull, check moisture first, then humidity and light levels.
Why Choose Prayer Plant?
- Interactive Leaf Movement: Leaves lift and fold in the evening, adding a daily ritual to your plant collection.
- Decorative Foliage: Patterned leaves provide year-round indoor interest without relying on blooms.
- Great for Indirect Light: Thrives in bright indoor spaces without direct sun.
- Compact, Trailing Habit: Fits shelves and small spaces, then gently drapes as it matures.
- Design-Friendly Texture: Works in modern, cozy, and collected interiors as a clean foliage statement.
If you want a houseplant with patterned leaves, gentle nightly movement, and a compact trailing form, Prayer Plant delivers year-round interest with approachable care.
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4.3 ★★★★★
Based on 12 reviews
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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.
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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!!
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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.
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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.
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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!!
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Reviewed in the United States on July 14, 2017