SKU: 6144357617
tropical lily flower

tropical lily flower Buy Foxfire waterlily purple special new nymphaea – Pond Megastore

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Description

tropical lily flower Buy Foxfire waterlily purple special new nymphaea – Pond MegastoreFoxfire Tropical Water Lily (Craig Presnell Hybrid) The Foxfire Water Lily is an award winning tropical water lily from world renowned hybridizer Craig Presnell, famous for its electric, multi toned blooms. Each flower is a dazzling blend of blue violet outer petals, violet pink mid petals, and a glowing crown of golden yellow stamens. The blooms are bold, flat, stellate in shape, and can reach up to 12 inches across in peak form. Heavily mottled

Foxfire Tropical Water Lily (Craig Presnell Hybrid)

The Foxfire Water Lily is an award-winning tropical water lily from world-renowned hybridizer Craig Presnell, famous for its electric, multi-toned blooms. Each flower is a dazzling blend of blue-violet outer petals, violet-pink mid-petals, and a glowing crown of golden yellow stamens. The blooms are bold, flat, stellate in shape, and can reach up to 12 inches across in peak form. Heavily mottled pads—painted green and purple—make Foxfire as stunning at the water’s surface as the flowers are above it.

This tropical variety is prized by collectors, show growers, and hobbyists alike. In large plantings, Foxfire Water Lily can grow into a true giant, with spreads of 15–22 feet across, pads measuring 20–26 inches, and show-stopping flowers. Yet, for smaller spaces, it adapts beautifully: kept in a 3–5 gallon container, Foxfire stays compact at 5–8 feet wide, with 7–12 inch pads—making it one of the most versatile tropical pond plants available today. Always a customer favorite, Foxfire Tropical Water Lily thrives in the north as an annual, delivering spectacular color in a single season.


🌱 Planting & Care Instructions

  • Water Lily Spread: 6–14 feet (or larger in expansive containers/ponds)

  • Foxfire Water Lily Container Size: Wide, shallow fabric pond pot (12–14 inches recommended)

  • Foxfire Water Lily Depth: 6–24 inches of water over the crown

  • Foxfire Water Lily Soil: Plant in heavy loam soil only (no bagged composted mixes, which rot underwater). For areas without good loam, use PondGro Aquatic Loam Soil, adding up to 40% play sand to increase volume.

  • Fertilizing Foxfire Water Lily: 5–10 Waterlily World Fertilizer Tablets on the 1st and 15th of each month, from early spring to mid-August (safe for fish and all pond plants except carnivorous types).

  • Fragrance: Yes, sweet and pleasing

  • Winter Hardiness: Best in USDA Zones 9–12; grow as an annual in cooler zones

💡 PondMegastore Tip: For show-quality size, provide Foxfire with a large container, heavy feeding, and full summer sun. For smaller gardens, restrict it to a modest 3–5 gallon pot for a contained but still breathtaking display.


✅ Do’s & ❌ Don’ts for Foxfire Water Lily

Do’s
✅ Use a wide, shallow fabric pond pot (12–14 in.)
✅ Plant in heavy loam soil, topping with ½ in. sand -- Never pea gravel
✅ Fertilize generously twice per month (5–10 tablets) during growing season; 4-7 tablets on 1st and 15th of each month during growing season. 
✅ Provide full sun (6+ hours daily) for maximum flower power
✅ Allow room for spread if you want Foxfire’s giant, show-winning size

Don’ts
❌ Don’t use bagged potting soil (compost will rot underwater)
❌ Don’t skip feeding—Foxfire needs nutrients for its large flowers 
❌ Don’t overcrowd—this water lily needs space to shine
❌ Don’t expect it to overwinter outdoors north of Zone 9 (replant each spring as an annual)

📦 Seasonal Shipping Information for Tropical Water Lilies

Tropical water lilies are often ready a few weeks later than other pond plants in spring. They typically ship between May and August/September when conditions are warm enough for healthy growth.

  • If your order includes a tropical water lily, even if you live in the South, the entire order will be held until the tropical is available.

  • If you want to receive other pond plants sooner, please place two separate orders.

  • For northern regions, tropical water lilies generally become available right around the time it’s safe to ship pond plants to your area.

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Zygerian99
Houston, 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
Natrona Heights, 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
Natrona Heights, 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
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Adam
Boise, 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
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Amazon Customer
West Palm Beach, 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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