SKU: 85867042565
bugaboo donkey 5 mono stroller

bugaboo donkey 5 mono stroller Bugaboo

$26.58 $29.53
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Description

bugaboo donkey 5 mono stroller BugabooThe Bugaboo Donkey5 Mono Complete is the perfect stroller for growing families. Easily transition from a single to double stroller with just three clicks no extra parts required! It's comfortable for babies and easy to steer, so parents can glide around town in style. Ready to take on your family's future with confidence! Features Elevated seat and pram body mean your child is never out of reach Improved self standing one piece fold makes storing the

The Bugaboo Donkey5 Mono Complete is the perfect stroller for growing families. Easily transition from a single to double stroller with just three clicks - no extra parts required! It's comfortable for babies and easy to steer, so parents can glide around town in style. Ready to take on your family's future with confidence!

 

Features
  • Elevated seat and pram body mean your child is never out of reach
  • Improved self-standing one piece fold makes storing the stroller easier than ever
  • Breezy pram body & aerated mattress keep your baby comfy no matter the weather
  • Large puncture proof wheels for smooth strolls on all terrains
  • Integrated wheeled board and cupholder attachment points for your favorite accessories

Specs

Product dimensions:

most compact folded product dimensions L x W x H 89 x 60 x 35 cm 35.04 x 23.62 x 13.78 inch
Unfolded (width) 60 cm  23.6 inch 
product capacity under seat bag   35 liters 9.2 gal

 

Product weight:

product weight (chassis, wheels, seat)  From 12.2 kg From 26.9 lbs.

 

Packaging dimensions:

packaging dimensions L x W x H

 87.7 x 62.9 x 39.7 cm 34.53 x 24.76 x 15.63 inch
net weight item  17.35 kg 38.25 lbs.
gross weight item 23.05 kg  50.82 lbs.

 

Fabric

Sun canopy: Outside: 100% polyester, Lining: 100% polyester 

Seat fabric: Outside: 100% polyester, Lining: 100% polyamide, Filling 1: 100% polyester, Filling 2: 100% polyurethane foam

Bassinet: Outside, Filling, Inside: 100% polyester

Under seat basket: Outside: 100% polyester, Bottom: 100% polyamide

Apron: Outside 100% polyester, Filling: 100% polyurethane foam, Inside: 100% polyester

Mattress: Outside: 100% polyester, Cover: 100% polyamide, Filling: 100% polyurethane foam, Aerated inlay: 100% polyester

Rain cover: 100% EVA or 100% PVS (pending per model, check fabric label for more information.)

Care

Chassis: Clean the chassis with a soft towel and lukewarm water and wipe off any remaining water with a dry cloth. Use a soft brush to clean sand and dirt from the mechanisms and sliding tubes of the chassis. Take care to brush away from any sliding joints. 

Wheels: Use a brush and water to clean dirt on the wheels. Periodically, remove the wheels from the chassis and brush off any dirt or sand in the inside axle of the wheel. 

After washing: Always re-assemble the (dry) parts back into original state as instructed in the user guide. 

Wet conditions: Store your Donkey5 stroller and its accessories in a dry place and leave them to dry unfolded to prevent mold. 

Cold wash, do not use bleach or aggressive detergents, do not tumble dry, do not iron, do not dry clean, always wash separately. 

IMPORTANT: Always check the fabric label before washing

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SKU: 85867042565

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Zygerian99
Bozeman, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
S
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Shannon
Massapequa, 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
Carnegie, 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
Carnegie, 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
Los Angeles, 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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