SKU: 6181454702
bugaboo fox 2 rain cover

bugaboo fox 2 rain cover Bugaboo Kangaroo/Fox High Performance Rain Cover

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Description

bugaboo fox 2 rain cover Bugaboo Kangaroo/Fox High Performance Rain CoverThe Bugaboo High Performance Rain Cover for Fox & Cameleon strollers is designed to keep your child comfortable and dry when the weather turns. Made to be quick and easy to install, this rain cover also folds compactly with a built in storage pocket, so you can always take it with you on your outings. Its innovative 180 zipper provides easy access to your child without having to remove the entire cover, making it both convenient and functional. This

The Bugaboo High-Performance Rain Cover for Fox & Cameleon strollers is designed to keep your child comfortable and dry when the weather turns. Made to be quick and easy to install, this rain cover also folds compactly with a built-in storage pocket, so you can always take it with you on your outings. Its innovative 180° zipper provides easy access to your child without having to remove the entire cover, making it both convenient and functional.

This rain cover features an extra transparent surface that allows natural light in, so your child can see out while staying protected. A 180° reflective strip adds visibility in low-light conditions, enhancing safety during evening or rainy walks. The built-in mesh air vents ensure optimal ventilation, keeping the interior fresh and comfortable. Crafted from PVC-free materials, it’s a more eco-friendly choice that offers durability while reducing environmental impact.

Bugaboo is a pioneering brand focused on designing high-quality strollers and baby products to support families on the move. Known for their innovative, stylish, and sustainable designs, Bugaboo strollers are crafted for comfort and ease of use, ideal for active parents. With a commitment to eco-friendly practices, they use recycled materials in their products, aiming to minimize environmental impact while delivering functionality and convenience. Bugaboo’s products are designed to help parents explore the world effortlessly with their little ones.

Bugaboo High-Performance Rain Cover Features:

  • Quick and Easy Installation: Designed for fast setup, so you can be prepared for sudden weather changes.

  • 180° Zipper Access: Innovative zipper design allows easy access to your child without needing to remove the cover.

  • Extra Transparent Surface: Lets in natural light and allows your child to see out while staying protected.

  • 180° Reflective Strip: Provides added visibility in low-light or dark conditions for safer evening walks.

  • Built-In Mesh Air Vents: Ensures optimal ventilation, keeping the interior fresh and comfortable.

  • Compact Fold with Storage Pocket: Folds down small with a built-in storage pocket, making it easy to carry along.

  • PVC-Free Materials: Made from environmentally friendly, PVC-free materials for a lower environmental impact.

  • Durable and Weather-Resistant: Provides reliable protection against rain and wind to keep your child dry.

  • Lightweight Design: Easy to handle and carry, perfect for parents on the go.

  • Compatibility:

    • Bugaboo Cameleon 3

    • Bugaboo Cameleon 3 plus

    • Bugaboo Fox

    • Bugaboo Fox 2

    • Bugaboo Fox 3

    • Bugaboo Fox 5

    • Bugaboo Fox Cub

    • Bugaboo Lynx

    • Bugaboo Kangaroo

See Entire bugaboo Collection

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SKU: 6181454702

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4.8 ★★★★★
Based on 26 reviews
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William P Ross
Waukegan, 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
A
Verified Purchase
Adam
Draper, 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
A
Verified Purchase
Amazon Customer
Cuba, 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
M
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mackster
Louisville, 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
S
Verified Purchase
Stergios Papadimitriou
Massapequa, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018

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