SKU: 82820272439
bugaboo donkey new

bugaboo donkey new Bugaboo® Donkey 5 Twin Baby Stroller (New)

$22.43 $24.92
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Description

bugaboo donkey new Bugaboo® Donkey 5 Twin Baby Stroller (New)*** FREE Bugaboo Giraffe Newborn Baby Rocker RRP 184. 95*** The Bugaboo Donkey 5 what's new? 1. Breezy Bassinet The new breezy bassinet will regulate your baby's temperature, whilst the insulated padded panels offer superior protection from the elements. For twins, it also allows them to connect with each other from their very first adventures together. 2. Improved ease of folding and unfolding The Bugaboo Donkey 5 features memory buttons enabling the

*** FREE Bugaboo Giraffe Newborn Baby Rocker - RRP £184.95***

The Bugaboo Donkey 5 - what's new?

1. Breezy Bassinet

The new breezy bassinet will regulate your baby's temperature, whilst the insulated padded panels offer superior protection from the elements. For twins, it also allows them to connect with each other from their very first adventures together.

2. Improved ease of folding and unfolding

The Bugaboo Donkey 5 features memory buttons enabling the bassinet and seat to be removed with just one hand.

3. Higher seat, bassinet and side luggage basket position

Higher positioning makes the journey more comfortable for both you and your baby. The seat is now 57cm from the ground whilst the bassinet is 51cm from the ground.

4. Integrated wheeled board and accessory attachment points

Attachments are integrated into the frame making a seamless integration point for Bugaboo accessories.

5. Quick-click harness with soft shoulder pads

The seat fabrics feature a new and improved harness system, which is easy to buckle and unbuckle as well as being comfortable for your little one. 

6. Premium fabrics in new colours

The updated fabrics are water repellent, durable and soft to touch, making them
super comfortable for your baby. They are easy to clean and suitable to machine wash.

Why we love it

The Bugaboo Donkey has long been heralded as the most versatile and stylish double pram on the market.

It’s the only side-by-side double stroller that can grow as your family does, meaning that it can be bought as a single and later converted to a double.

If purchasing the Mono option, you will receive one seat-frame but both the carrycot and the seat fabric. This means that it is suitable for single use but later an extension set can be purchased, which will convert the pram into the Duo version.

If you need a double right away, the Duo option is perfect for you. It comes with 2 seat-frames, 1 carrycot fabric and 2 seat-fabrics. This means that either the carrycot and seat can be used at the same time or the 2 seats. The carrycot is suitable from birth until 6 months so when baby is ready, they can transition into the seat and join their elder sibling.

The third option for the Bugaboo Donkey is the Twin. This comes with everything the Duo version does but with an extra carrycot, meaning that the pram has 2 of everything.

One of the most popular questions we get asked is ‘will the Donkey fit through my door?’. The answer is – it depends on the size of your door! In Duo/Twin mode, the Donkey measures 74cm in width. The width of standard sized door in the UK is 76.2cm. 

Apart from the option to choose between a single and double stroller, there are a few other things which make this pram stand out for us:

  • the seats can be individually configured in world or parent-facing mode
  • the fabrics are fully removable and washable
  • the Donkey is compatible with all of Bugaboo’s accessory range

Overall, the quality and the build of the Bugaboo Donkey is second to none. There is no other double stroller on the market, which comes close to its premium design.

Have more questions? Let us know

What's in the box?

  • Chassis with foam-filled wheels
  • 2 x carrycots
  • 2 x seats
  • 2 x hoods with rods & clamps
  • 2 x raincovers
  • 1 x underseat basket
  • 1 x side luggage basket

 Warranty

    • Bugaboo 2 year warranty as standard
    • All Bugaboo pushchairs registered on Bugaboo.com from and including April 1st, 2021, will receive 2 additional years warranty when registered within 3 months of purchase
      Shipping Notes
      • Free Standard Shipping on $100+ Orders to the USA.
      • Except Preorder products are shipped in 48 hours.
      • Delivery to the USA:
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      Exchange/Return Notes
      • We offer a 30-day return/exchange service after receiving.
      • Final sale items are not eligible for returns or exchanges.
      • To process your return/exchange, please contact us at [email protected]
      • Please click here for more details>>> Return & Exchange Policy
      SKU: 82820272439

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      4.3 ★★★★★
      Based on 19 reviews
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      Z
      Verified Purchase
      Zygerian99
      Birmingham, 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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on January 21, 2020
      S
      Verified Purchase
      Shannon
      Carnegie, 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
      Omaha, 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
      Boise, 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
      Natrona Heights, 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

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