SKU: 79110302479
pink sunflower seeds to plant

pink sunflower seeds to plant 25 Strawberry Sunrise Pink Sunflower Seeds

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Description

pink sunflower seeds to plant 25 Strawberry Sunrise Pink Sunflower SeedsUp for sale is one pack of 25 Strawberry Sunrise Sunflower seeds. These sunflowers are pollenless branching sunflowers that will produce 4" to 6" blooms with a very light yellow edged petals that transition to a pink strawberry center. Very similar to the cherry rose sunflowers we carry but with a pinkish center. We offer flat rate combined shipping on all orders, no limit on the amount or type of seed packets. CULTURE Soil temperature: 70 75 degrees

Up for sale is one pack of 25 Strawberry Sunrise Sunflower seeds.  These sunflowers are pollenless branching sunflowers that will produce 4" to 6" blooms with a very light yellow edged petals that transition to a pink strawberry center.  Very similar to the cherry rose sunflowers we carry but with a pinkish center.

We offer flat rate combined shipping on all orders, no limit on the amount or type of seed packets.

CULTURE

Soil temperature: 70 - 75 degrees fahrenheit
Germination lighting: Dark required
Germination days: 4 - 8 days
Grow on temperature day: 55 - 60 degrees fahrenheit
Plant spread: 24"
Plant height: 48'' to 96"
Plant type: Annual
Maturation days: 70 days

Loosen enriched garden soil down to a 6" depth. When soil is consistently 70 degrees (for zone 6-7 usually June 1st) plant seed 1/2" deep and a minimum of 24" apart if your are going to pinch them, 6" to 12" apart if your are not going to pinch (see below). These are low maintenance and require nothing else other than weekly watering. We don't recommend you start sunflowers early in pots as they send a large tap root when germinating and in pots less than 6" deep will quickly become rootbound and not develop correctly.

These are a branching variety and you can choose to pinch them or not. If you don't pinch they will grow taller, up to 8', and usually produce one very large 6"-8" flower (they might still branch on their own). If you pinch them the plant will stay smaller creating more branches and produce more blooms in the 3-4" range. If you decide to pinch wait until the plant is about 1 foot tall, and has 4-5 sets of leaves, and pinch out the top set of new leaves with your fingertips (see the video above). We recommend you only pinch your sunflowers one time. Pinching is a personal preference and we do pinch our branching sunflowers.

The color of these sunflowers is very dependent on sufficient soil nutrient levels.  To achieve the deepest strawberry color we suggest you use a nutrient soil test to check your NPK and make sure your PH level is at least 7.

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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: 79110302479

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4.5 ★★★★★
Based on 26 reviews
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Shannon
Louisville, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Lowell, 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
Natrona Heights, 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
Pawtucket, 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
Fort Morgan, 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

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