SKU: 57394568738
flower cactus succulent

flower cactus succulent Easter Lilly Cactus, Echinopsis oxygona, cactus flower, cactus, succul – Desert Noir

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Description

flower cactus succulent Easter Lilly Cactus, Echinopsis oxygona, cactus flower, cactus, succul – Desert NoirEchinopsis oxygona is a species of flowering plant in the cactus family Cactaceae, native to South Brazil, Uruguay and northern Argentina. Its features include: many robust spines, spherical shape, and a large flower, with sharply pointed lavender or white petals, and a fine faint scent. Echinopsis oxygona is known for having huge, showy flowers at the ends of long tubes which are connected to the cactus. The flower has a sweet smell. The flower opens

Echinopsis oxygona is a species of flowering plant in the cactus family Cactaceae, native to South Brazil, Uruguay and northern Argentina. Its features include: many robust spines, spherical shape, and a large flower, with sharply pointed lavender or white petals, and a fine faint scent.

Echinopsis oxygona is known for having huge, showy flowers at the ends of long tubes which are connected to the cactus. The flower has a sweet smell. The flower opens in the evening and wilts the next afternoon on hot days. It grows well in full sun, or light shade. These cacti can stand strong heat, and even temperatures as low as −10 °C (14 °F). Usually these are outdoor plants. They are used to the dry, desert climate, so they do not need to be watered every day.

In cultivation in the UK this plant has received the Royal Horticultural Society's Award of Garden Merit.

~ Bare root plant

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MrGee
Chelsea, 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
Lowell, 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
Lexington, 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
San Leandro, 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
Phoenix, 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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