SKU: 6816442187
bugaboo frog stroller price

bugaboo frog stroller price Bugaboo Butterfly 2 Complete Stroller + Travel Bag Bundle

Sale price$24.38 Regular price$27.09
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Description

bugaboo frog stroller price Bugaboo Butterfly 2 Complete Stroller + Travel Bag BundleUnlock a world of experiences with the Bugaboo Butterfly 2. The ultra compact, one second fold travel stroller simplifies trips around the block and beyond. Explore freely and move with ease as your growing baby enjoys ultimate comfort in the ergonomic seat. Engineered so you can explore beyond borders. The stroller folds in one second into an ultra compact and durable package thats compatible with overhead plane compartments. Unfolding is just as

Unlock a world of experiences with the Bugaboo Butterfly 2. The ultra-compact, one-second fold travel stroller simplifies trips around the block and beyond. Explore freely and move with ease as your growing baby enjoys ultimate comfort in the ergonomic seat.

Engineered so you can explore beyond borders. The stroller folds in one second into an ultra-compact and durable package that’s compatible with overhead plane compartments. Unfolding is just as simple, ready to disembark and discover together. Make sure to check with your airline before you travel.

After a day on the go, you can recline the seat and let your child nap in the roomy ergonomic seat. While they take in new surroundings, use the supportive fully upright position. For ultimate comfort at any angle, adjust the integrated footrest with one hand.

The larger wheels with full suspension offer better maneuverability, grip, and resistance in different conditions. They’re made with durable material and tested to travel over 2,485 miles without showing much wear and tear.

With an upgraded underseat basket that carries up to 17.6 lbs, there’s no need to travel light. The Bugaboo Butterfly 2 also has an additional storage pocket on the back of the seat, so you can keep your essentials close by.

Our boundary-pushing design has the lowest environmental footprint in our lineup to date. It’s built to last with durable bio-based material and recycled aluminum. This has reduced its CO2 footprint by 30% compared to the original Bugaboo Butterfly model.

A long-lasting product is a more sustainable choice. The Bugaboo Butterfly 2 is crafted with premium materials under safe and fair conditions in our award-winning factory. It’s then tested beyond industry standards for superior safety and durability.

Features

  • One-second compact fold and unfold (IATA compatible)
  • Spacious ergonomic seat with adjustable footrest that sits fully upright
  • Bigger urban wheels and full suspension for smooth strolls
  • Spacious under seat basket (holds 17.6 lbs) and back storage pocket
  • Lowest CO2 footprint in our stroller lineup
  • Integrated footrest with one-hand operation
  • Detachable sun canopy with front peekaboo window
  • Softer color matching padded 5-points harness

Specifications

  • Age Range: From 6 months to 4 years (maximum 50 lbs.)
  • Stroller Weight (Fully Assembled): 16 lbs.
  • Unfolded Dimensions: 37.2" x 17.64" x 40.47"
  • Folded Dimensions: 17.6" x 9.6" x 21.8"
  • Underseat Basket Capacity: 17.6 lbs.

Bugaboo Butterfly Transport Travel Bag

Travel with complete peace of mind with the Bugaboo Butterfly transport bag. It's easy to carry, store,and pop in the overhead bin on the plane. Made with durable and water-repellent fabrics to protect yourstroller from dirt, scratches, and anything else your adventure has in store.

Features

  • Compact design and fits overhead compartments on planes (IATA-compatible)
  • Durable and water-repellentfabrics to protect your stroller from dirt and scratches
  • Easily slide your stroller in and out of the bag, even during busy airport checks
  • Padded bottom for extra protection during your travels
  • Easy to carry with the carry handle or wear on your back asa backpack
  • Adjustable padded backpack straps, so the bag sits comfortably on your shoulders
  • Fits your Bugaboo Butterfly, plus extra space to squeeze in a bumper bar or a wheeled board
  • Zippers and a velcro seal to make sure your stroller is secured
  • Folds away neatly when not in use and fits in your stroller's underseat basket
  • Works also as a storage bag at home

Certified B Corp: Bugaboo meets high standards of social and environmental impact, ensuring sustainability and ethical business practices.

What's In The Bundle

  • Bugaboo Butterfly 2 stroller
  • Integrated leg rest
  • Base fabric set
  • Sun canopy set
  • Comfort harness
  • Seat inlay
  • Carry strap
  • Transport travel bag
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
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 6816442187

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Zygerian99
Pawtucket, 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
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Shannon
Houston, 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
Alexandria, 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
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!!
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Reviewed in the United States on July 14, 2017

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