SKU: 5283496710
asiatic lily seeds

asiatic lily seeds Lily Looks™ Tiny Double Dutch Asiatic Lily

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Description

asiatic lily seeds Lily Looks™ Tiny Double Dutch Asiatic LilyLily Looks Tiny Double Dutch Asiatic Lily (Lilium asiaticum 'Tiny Double Dutch') is an incredibly gorgeous flowering bulb with dramatic orange blooms that are double, nearly triple, petals that create gorgeous bouquets all on their own! These nectar rich blooms shine as they open in the sun and attract all sorts of butterflies, bees, and other beneficial insects! The multiple buds form atop a short 16 20 inch stem full of strappy, very deep green

Lily Looks™ Tiny Double Dutch Asiatic Lily (Lilium asiaticum 'Tiny Double Dutch') is an incredibly gorgeous flowering bulb with dramatic orange blooms that are double, nearly triple, petals that create gorgeous bouquets all on their own! These nectar-rich blooms shine as they open in the sun and attract all sorts of butterflies, bees, and other beneficial insects!

The multiple buds form atop a short 16 - 20 inch stem full of strappy, very deep-green foliage that forms tidy bunches of slowly expanding clumps that colonize small areas throughout the sun garden!

A member of the Lily Looks™ Series, Tiny Double Dutch is a late spring-blooming Asiatic Lily with radiant double blooms! Wonderfully heat and cold-hardy throughout USDA planting zones 3 to 9, these perennial summer-flowering bulbs start as adaptable spring-planted bulbs!

Planting and Application:

Lily Looks™ Tiny Double Dutch Asiatic Lily is a perfect container-ready-sized accent! Tiny Double's contrasting deep green leaves and brilliant orange flowers are gorgeous additions to containers, planters, window boxes, and patio pots!

Formal clumps in neat rows along your walkways, or fronting perennial borders, fill spring and summer beautifully! Pollinator garden must-haves, gorgeous focal point cut flowers, and Cutting Garden borders, Cottage gardens, and mailbox gardens gain a bold, impactful accent and focal point during the summer!

Lily Looks™ Bulbs are ideal for smaller urban lots, sunny balconies, postage-stamp gardens, and entry plantings are perfect. These miniature plants and their big blooms!

  • Brilliant Orange Double Blooms
  • Compact Growth, Clumped Groupings & Shorter Stems
  • Stems Covered in Strappy Green Foliage
  • Pollinator & Beneficial Insect Nectar Resources
  • Containers, Mixed Gardens, Brilliant Summer Color & Small Space Gardens

#ProPlantTips for Care:

Asiatic Lilies are not particular about soil type, as any well-drained soil works great, but they do need full sun or part sun to bloom best. Just don't let them dry out during drought, topping the soil with a 3-4 inch deep layer of arborist mulch to hold the soil moisture in more consistently, and insulate the bulbs. Because these are Bulbs with smaller root systems, they will not grow in wet or waterlogged soils.

Deadhead after bloom, but keep your foliage until fall to make food for the bulb, then cut back in autumn to prepare for winter.

  • Full Sun & Partial Sun
  • Must Have Very Well-Drained Soil
  • Moderate Yet Consistent Moisture Needs
  • Appreciates Mulched Beds
  • Deadhead After Flowers Fade & Prune Back in Autumn

Lily Looks™ Tiny Double Dutch Asiatic Lily will catch the eye and attract all the attention with their double brilliant blooms! Order your quality spring-planted bulbs from Nature Hills, and we'll ship your order at the proper planting time for your hardiness zone!

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SKU: 5283496710

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4.8 ★★★★★
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A
Verified Purchase
Amazon Customer
Lexington, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
West Palm Beach, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Lake Worth, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Lake Worth, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
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Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
Birmingham, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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