SKU: 81590072905
philodendron caramel marble seeds

philodendron caramel marble seeds Philodendron 'Caramel Marble' – Foliage Factory

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Description

philodendron caramel marble seeds Philodendron 'Caramel Marble' – Foliage FactoryPhilodendron 'Caramel Marble' Philodendron 'Caramel Marble' is a cultivated Philodendron with warm marbled variegation in caramel, cream, yellow green, and green tones. Each plant can show a different colour balance, with some leaves carrying broad pale sectors and others showing finer mottling or mixed marbling. The pale sections can scorch or brown faster than greener tissue. Bright indirect light, warm temperatures, and a chunky substrate help

Philodendron 'Caramel Marble'

Philodendron 'Caramel Marble' is a cultivated Philodendron with warm marbled variegation in caramel, cream, yellow-green, and green tones. Each plant can show a different colour balance, with some leaves carrying broad pale sectors and others showing finer mottling or mixed marbling.

The pale sections can scorch or brown faster than greener tissue. Bright indirect light, warm temperatures, and a chunky substrate help protect new leaves while keeping the root zone from staying wet too long.

Foliage traits of Philodendron 'Caramel Marble'

  • Leaf colour: Warm caramel, cream, yellow-green, and green tones can appear across the marbled foliage.
  • Pattern: Variegation may appear as broad sectors, mottling, or mixed marbling depending on the individual plant.
  • Leaf sensitivity: Pale sections can scorch, brown, or mark faster than greener tissue.
  • Colour change: New leaves can differ from older leaves in colour intensity and pattern.
  • Pruning check: Repeated all-green shoots can be cut back if the marbled pattern does not return on newer growth.

Growth and colour behaviour in Philodendron 'Caramel Marble'

New foliage can open with different amounts of caramel, cream, yellow-green, and green tissue. Leaves with large pale areas need protection from harsh direct sun, while all-green shoots should be watched over several new leaves before pruning.

A chunky aroid mix gives the roots oxygen between waterings and reduces the risk of rot in wet conditions. Keep the plant warm and avoid cold wet substrate, especially after repotting or during slower indoor growth.

Care for Philodendron 'Caramel Marble'

  • Light: Bright indirect light protects the pale sectors from harsh sun and keeps new growth from stretching.
  • Water: Water after the top part of the substrate has dried slightly; wet roots can cause yellowing and leaf decline.
  • Humidity: Moderate to high humidity reduces dry edges on new leaves, especially where pale tissue is present.
  • Substrate: A chunky aroid mix keeps the roots aerated and reduces the risk of rot in wet conditions.
  • Temperature: Warm, stable indoor temperatures are safest for variegated foliage and active root growth.
  • Pruning: Remove damaged leaves or repeatedly green shoots only after checking several new leaves from the same growth point.

Common issues with Philodendron 'Caramel Marble'

  • Scorch: Direct sun can burn cream, yellow, or caramel-coloured leaf sections.
  • Brown patches: Pale areas can brown from dry air, irregular watering, or root stress.
  • Pattern loss: A growth point that keeps producing all-green leaves can be pruned back to encourage patterned growth from another node.
  • Root problems: Dense substrate that remains wet can cause yellowing, limp leaves, and slow new growth.

Safety note for Philodendron 'Caramel Marble'

Philodendron 'Caramel Marble' should be kept away from pets and children who may chew the foliage or stems. Like other Philodendron, it contains irritating calcium oxalate crystals.

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SKU: 81590072905

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Shannon
Los Angeles, 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!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Bozeman, 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
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Adam
Grantham, 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.
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Reviewed in the United States on May 22, 2026
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Amazon Customer
Bozeman, 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
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mackster
Bozeman, 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.
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Reviewed in the United States on May 15, 2018

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