SKU: 11194577707
hanging plant heart

hanging plant heart Ceropegia woodii - String of Hearts - Rosary Vine | Hortology

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hanging plant heart Ceropegia woodii - String of Hearts - Rosary Vine | HortologyLove will definitely be in the air with this charming, trailing semi succulent vine. Ceropegia woodii ssp. Woodii has small heart shaped leaves with a delightful green lace pattern that grow in opposite pairs along a trailing vine. The pinkish purple undersides of the leaves and stems add a romantic hue. Also known as Rosary Vine or Chain of Hearts, Ceropegia woodii is not truly a succulent, but it does store water in its stems and plant care is very

Love will definitely be in the air with this charming, trailing semi-succulent vine.

Ceropegia woodii ssp. Woodii has small heart shaped leaves with a delightful green lace pattern that grow in opposite pairs along a trailing vine. The pinkish-purple undersides of the leaves and stems add a romantic hue.

Also known as Rosary Vine or Chain of Hearts, Ceropegia woodii is not truly a succulent, but it does store water in its stems and plant care is very similar to that of a succulent. String of Hearts is extremely easy to look after and very tolerant of neglect. It is a perfect plant for hanging baskets.

Please note: String of hearts vines are coiled in the packaging by the growers to protect them in transit. On opening, we recommend gently unfurling the coils and teasing apart the vines around the pot. If you rush this stage, you risk losing a lot of your vines. Let the coils hang for several days before continuing to gently separate the vines (patience is a virtue). Some leaf loss is unavoidable, however they are fast growing plants and will regenerate quickly.

The images shown represent plants of varying degrees of maturity and size.

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SKU: 11194577707

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Amazon Customer
Massapequa, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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MrGee
Grantham, 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
Grantham, 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
Houston, 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
Birmingham, 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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