SKU: 6181166921
bridal veil hanging plant

bridal veil hanging plant Tahitian Bridal Veil

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Description

bridal veil hanging plant Tahitian Bridal VeilGibasis pellucida Overview Uses: Hanging baskets, indoor containers, tropical groundcover, trailing patio plantings Benefits: Delicate white blooms, trailing growth habit, lush green foliage with purple undertones, adaptable as a houseplant USDA Hardiness Zones: 1011 (grown as a houseplant in all zones) Sun: Bright Indirect Light to Partial Shade Life Cycle: Tender Perennial Growth Habit: Trailing, Spreading cascading stems that root along nodes Bloom

Gibasis pellucida

Overview

Uses: Hanging baskets, indoor containers, tropical groundcover, trailing patio plantings

Benefits: Delicate white blooms, trailing growth habit, lush green foliage with purple undertones, adaptable as a houseplant

USDA Hardiness Zones: 10–11 (grown as a houseplant in all zones)

Sun: Bright Indirect Light to Partial Shade

Life Cycle: Tender Perennial

Growth Habit: Trailing, Spreading — cascading stems that root along nodes

Bloom Color: White

Foliage Color: Green with Purple Undertones

Mature Height: 6–8 inches

Mature Width: 18–24 inches

Bloom Season: Spring through Fall

Growth Rate: Fast

Summary

Tahitian Bridal Veil is a graceful trailing plant valued for its fine-textured foliage and delicate white blooms that appear throughout the warm season. Its cascading stems create soft movement in hanging baskets and container arrangements.

Native to tropical regions, this plant thrives in bright indoor settings and shaded outdoor spaces in warm climates. The subtle purple tint along the stems adds depth and contrast against the small white flowers.

Its easygoing nature and trailing form make it especially suited for houseplant displays, patio containers, and seasonal outdoor accents.

Care

Tahitian Bridal Veil Care

Provide bright indirect light indoors or partial shade outdoors. Avoid prolonged exposure to strong direct sun, which may scorch foliage.

Plant in well-drained, organically rich soil. Maintain lightly moist soil during active growth, allowing the top layer to dry slightly between waterings. Reduce watering in winter months.

Apply a balanced slow release fertilizer in spring to encourage steady growth and flowering.

Trim stems as needed to maintain shape and encourage fuller growth.

Container Growing

This plant performs exceptionally well in hanging baskets and decorative containers with adequate drainage.

Because containers dry out more quickly than garden beds, monitor moisture levels regularly, especially during warmer months.

Plants hardy in the ground may require winter protection when grown in containers in colder zones.

Size

What Size is the Tahitian Bridal Veil for Sale Online?

Plants ship in a greenhouse-grade grow pot and are actively growing at the time of shipment. Each plant is well-rooted and appropriately sized for its container. If you have specific sizing questions, please contact us for additional details.

How Large Does Tahitian Bridal Veil Grow?

Mature plants typically reach 6–8 inches tall with trailing stems extending 18–24 inches, creating a cascading effect in containers and hanging baskets.

Additional Information

What are some common names for this plant?

This plant is commonly known as Tahitian Bridal Veil.

Is Tahitian Bridal Veil suitable as a houseplant?

Yes. It adapts well to bright indoor environments and performs beautifully in hanging baskets and decorative planters.

Where can I find more trailing or indoor plants?

Browse our collections of Houseplants and Patio Plants for additional cascading and container-friendly options.

Can it be grown outdoors?

In Zones 10–11 it may be grown outdoors year-round. In cooler climates, it is best grown as a seasonal outdoor plant or brought indoors before frost.

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SKU: 6181166921

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Zygerian99
Fort Morgan, 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
Lexington, 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
New York, 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
A
Verified Purchase
Adam
Port Orchard, 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.
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Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Draper, 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

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