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Description
hanging pothos planter Golden Pothos Epipremnum aureumDiscover the Golden Pothos: A Houseplant Hero The Golden Pothos variety of Epipremnum Aureum is a houseplant classic and a staple on desks and office windowsills. Its an easy to propagate and extremely adaptable plant thats known for being able to live in standard fluorescent lighting alone. However, we do consider this a get what you give plant meaning the more light and care you give this plant, the more impressive the growth and variegation will
Discover the Golden Pothos: A Houseplant Hero
The ‘Golden Pothos’ variety of Epipremnum Aureum is a houseplant classic and a staple on desks and office windowsills. It’s an easy to propagate and extremely adaptable plant that’s known for being able to live in standard fluorescent lighting alone. However, we do consider this a ‘get what you give’ plant meaning the more light and care you give this plant, the more impressive the growth and variegation will be.
Golden Pothos Plant Profile
- Botanical Name: Epipremnum Aureum
- Pronunciation: ep-ih-PREM-num AW-ree-um
- Common Name: Golden Pothos
- Family: Araceae
- Native Range: China, the Indian Subcontinent, Australia, New Guinea, Southeast Asia, and various islands of the Pacific and Indian Oceans
How to Care for Golden Pothos
- Care Level: Easy
- Light: Can adapt to most lighting conditions. Not suited for intense, direct sun.
- Water: Allow first inch of soil to dry out before watering. Tolerates being dry better than being soaked. This plant is drought tolerant.
- Humidity: Can tolerate any humidity
- Temperature: 65-75F
- Pruning: Prune as needed to remove brown or dead leaves and control growth.
- Feeding: Apply a diluted liquid fertilizer about once a month during spring and summer
- Growth: Fast growing. Can grow as long as 10’
- Propagation: Cuttings
- Pests: Look out for mealybugs, spider mites, and scale insect
- Toxicity: Toxic to humans and pets
Fun Fact About Pothos: A True Climber’s Delight
The Golden Pothos can grow up to 10 feet long if given a chance to climb. The more support you provide, the more impressive and large its leaves will become!
History Of The Pothos: From Tropical Roots to Modern Homes
Originating from the tropical regions of China, India, and Southeast Asia, the Golden Pothos has been a cherished plant for decades. Its ability to thrive in diverse environments made it a staple in homes and offices worldwide.
Want More Info On Pothos Plants?
Discover expert tips on how to keep your new Pothos thriving by checking out our comprehensive Pothos Care Guide, covering everything from watering to lighting for lush, healthy growth.
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4.3 ★★★★★
Based on 9 reviews
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Product Reviews
★★★★★ 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!!
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Reviewed in the United States on November 30, 2025
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on May 22, 2026
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on May 15, 2018