SKU: 76795704004
morning glory seed

morning glory seed Bulk Morning Glory Seeds

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Description

morning glory seed Bulk Morning Glory SeedsIntroduced by Seedsman Darold Decker in 1960, this lofty vine is covered with spectacular 6" flowers of white etched with varying amounts of sky blue. Very impressive from a distance. 20 seeds PLANTING Ipomoea Annual Germination: 7 30 days, chipping seed coat or soaking seeds overnight aids in the germination. Germination Temperature: Optimum soil temperatures 70 80F. Seed Planting Depth: Sow 1 4 deep Starting Indoors: Start indoors 3 4 weeks before

Introduced by Seedsman Darold Decker in 1960, this lofty vine is covered with spectacular 6" flowers of white etched with varying amounts of sky blue. Very impressive from a distance.

20 seeds

 

 

PLANTING

Ipomoea

Annual

Germination: 7-30 days, chipping seed coat or soaking seeds overnight aids in the germination.

Germination Temperature: Optimum soil temperatures 70-80ºF.

Seed Planting Depth: Sow 1/4” deep

Starting Indoors: Start indoors 3-4 weeks before the last frost. Provide 70-80ºF soil temperature. Using peat, cow, or paper pots can help with the stress of transplanting, they grow delicate roots and successful transplanting may be challenging. Transplant into the garden after the last frost. 

Sowing Outdoors: After the last frost, when soil is over 70 ºF. Sow a few seeds every 8-12".

Growth Habit: Climbing

Height: 8-10

Spacing: 8-12” apart

Light Needs:  Full sun

Soil Needs: Average to fertile, well-drained

Approximate days to flower from seed: 90 plus days. Blooms toward the end of summer, the middle of August until frost.

Uses: Climbs trellises, fences, and poles

Care: Water seedlings regularly until established. Amend the soil with compost before transplanting. Mulching helps retain moisture. Over-fertilizing can result in low to no flowers.

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SKU: 76795704004

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MrGee
New York, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Los Angeles, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Fort Morgan, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Massapequa, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Houston, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025

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