SKU: 15697112038
walking palm cat bed

walking palm cat bed Black and White Cat Cave

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Description

walking palm cat bed Black and White Cat CaveThis is a cozy and comfortable bed for your cat handmade from natural wool. The wool is thick and the highest quality available. There is a lot of love put into each one to ensure that your cat is happy and healthy. Fits cats up to about 18 lbs. Walking Palm makes high quality cat caves that will last a lifetime. Stain resistant and easy to clean, just hand wash with soap and water and drip dry. * FITS CATS AND SMALL DOGS UP TO 18 LBS One size,

This is a cozy and comfortable bed for your cat handmade from natural wool. The wool is thick and the highest quality available. There is a lot of love put into each one to ensure that your cat is happy and healthy. Fits cats up to about 18 lbs. Walking Palm makes high quality cat caves that will last a lifetime. Stain resistant and easy to clean, just hand wash with soap and water and drip dry.

* FITS CATS AND SMALL DOGS UP TO 18 LBS - One size, because it’s the perfect size. We have designed our cat caves to be the best of both worlds.The cat cave has been perfected to make sure your cat is the most comfortable while adding a great accent to your home décor.

* MADE WITH LOVE FROM PREMIUM ORGANIC WOOL – Our cat caves are hand crafted with our partners in Nepal using 100% premium ethically sourced merino wool. You can see and feel the difference compared to our competitors. Our Nepalese artisans put a lot of love into making each one just for you and your furry friend!

* VERY EASY TO CLEAN – We know that your cats can be a bit messy. Our cat caves are easy to spot clean with a dash of soap of water. For dirt, dust and hair, vacuum gently. That’s it! We love that the merino wool our cat caves are made from offers natural properties to keep your pets cleaner, and smelling better. There is no need to use a washing machine!

* MORE THAN JUST A BED – You might notice that your cat loves the boxes that your last cat bed was delivered in more than that bed itself. You will find out quickly how this will become a play pen as well! It becomes a source of entertainment for play time with their favorite toys. It’s the cat cave that cats crave!

* PURCHASE WITH CONFIDENCE – We guarantee your cat will love our cave or we will refund 100% of your money. We have been making cat caves since 2012 and stand behind all of our products. You are in good hands with Walking Palm.



    Measurements:

    Standard Size
    Width ~ 17-19 inches
    Height ~ 10-11 inches
    Hole ~ 7-9 inches

    Cutting hole larger - you can cut the hole larger for your cat if you wish just use a pair of sharp scissors.

    Check out the Walking Palm Cat Cave featured on ModernCat:


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    Exchange/Return Notes
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    SKU: 15697112038

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    4.7 ★★★★★
    Based on 9 reviews
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    Verified Purchase
    Shannon
    Belleville, 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!!
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on November 30, 2025
    W
    Verified Purchase
    William P Ross
    Battle Creek, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on March 15, 2017
    A
    Verified Purchase
    Adam
    Dallas, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on May 22, 2026
    A
    Verified Purchase
    Amazon Customer
    Lake Worth, 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!!
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on July 14, 2017
    M
    Verified Purchase
    mackster
    Battle Creek, 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.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on May 15, 2018

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