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Description
uppababy vista v2 carrycot UPPAbaby Vista V3 Double Stroller with RumbleSeat V3 + Bassinet BundleOne for all. Our Vista stroller is intuitively designed to grow with your family! It starts as a single stroller but can easily transform to accommodate up to three children with added accessories and adapters becoming the ultimate in portability and convenience! Features All Weather Comfort Seat with Seasonal Seat Liner for cooler days or converts to mesh for warmer days Enhanced FlexRide Strolling Suspension delivers a smooth ride whether strolling
One for all.®
Our Vista stroller is intuitively designed to “grow” with your family! It starts as a single stroller but can easily transform to accommodate up to three children with added accessories and adapters — becoming the ultimate in portability and convenience!
Features
- All-Weather Comfort Seat with Seasonal Seat Liner for cooler days or converts to mesh for warmer days
- Enhanced FlexRide Strolling Suspension delivers a smooth ride whether strolling with 1, 2, or 3
- Quick-to-secure harness system with magnetic buckle and easy-to-adjust, no-rethread harness
- Parent-facing and forward-facing full size, toddler seat grows with child up to 50 lbs
- Effortlessly folds in one simple step & stands when folded for compact storage
- Extendable, water-repellent UPF 50+ canopy and easy-to-peek window for added air flow
- Extra-large, easy-access basket with 30 lb. weight limit to easily store all your essentials while strolling
- Premium fabrics and full-grain REACH certified leather details
- Never flat tires for durability and smooth strolling through various terrain
- Reflective trims on wheels and basket to enhance visibility while strolling
- Ability to transport up to three children with RumbleSeat and PiggyBack accessories
- One-handed multi-position recline for those “resting strolls”
- Extendable water-repellant canopy with UPF 50+ protection, zip-out fabric, and mesh panels with covering for added protection for any weather
- One-hand, adjustable handlebar to better accommodate different heights
- Front wheel locks with visual indicators for parent’s piece of mind
- Adjustable footrest positions feet and legs comfortably as they grow
- GREENGUARD® Gold certified to support healthier air quality & low chemical emissions
Specifications
- Toddler Seat: 3 months to 50 lb; suitable from birth with Infant SnugSeat (sold separately) or Bassinet accessory
- Weight
- Frame & Seat: 27 lbs
- Frame: 20 lbs
- Seat: 7 lbs
- Bassinet: 8.8 lbs
- Unfolded: 36″ L x 25.7″ W x 39.5″ H
- Folded with seat attached: 17.3″ L x 25.7″ W x 33.3″ H
- Folded without seat attached: 13″ L x 25.7″ W x 32″ H
RumbleSeat V3
Comfort meets convenience with the RumbleSeat V3. Easily attach this second seat to your Vista with the large hubs and adapters, offering a simple and intuitive experience for parents. Children can grow with the RumbleSeat V3 thanks to the 40 lb/18.1 kg weight limit, multi-position footrest, and forward- and parent-facing capabilities. With an All-Weather Comfort Seat, large frame and height-adjustable canopy, the RumbleSeat V3 is the perfect, multitasking stroller seat solution for growing families in any season and stage.
Features
- Extendable, water-repellent UPF 50+ canopy and vented peekaboo window for added air flow
- Large hubs and adapters ensure quick, easy, and intuitive attachment to Vista.
- Premium fabrics and full-grain REACH certified leather details.
- Removable and washable fabric.
- Snack Tray accessory fits bumper bar attachment (sold separately).
- Made in a Fair Trade Certified™ factory, supporting fair and safe labor practices and empowering workers to invest in their communities.
- GREENGUARD Gold Certified to contribute to healthier indoor air, keeping you and your family safer.
Bassinet V3
Transform your Vista, Cruz, Ridge, or Minu into a safe and stylish pram ideal for your newborn. Whether for naps on the go or overnight sleeping, our Bassinet allows your baby to lie completely flat. The Bassinet V3 has enhanced features including greater ventilation, easy access to baby, and a breathable mattress for safe sleep.
- Quick zip, cross ventilation panels that can be opened for greater airflow or closed for added warmth
- Foam-free air mesh mattress for maximum breathability and safe overnight sleep solution
- Dual zipper on bassinet boot cover easily opens and closes to tend to baby
- Collapsable design for easy stow away whether traveling or limited in space
- Vented window on base with covering bringing air flow from bottom to top
- Extendable, UPF 50+ sunshade and mesh panels for air flow
- Carry handle with an effortless one-hand stroller release for easy on-and-off attachment
- Zip-out, water-repellent inner liner and boot cover are easy to remove and clean
- Easy attachment options to stroller with indicators for extra security
- Included Bug Shield to protect from outdoor elements
- Fits directly onto Bassinet Stand Accessory
- GREENGUARD® Gold certified to support healthier air quality & low chemical emissions
- Bassinet suitable from birth to 20 lbs or until infant can push up on hands and knees, whichever comes first
What's In The Bundle
- Frame
- Toddler Seat
- Seasonal Seat Liner
- Bumper Bar
- Toddler Seat Bug Shield
- Toddler Seat Rain Shield
- Toddler Seat Storage Bag
- 3-Year Warranty
- Upper Adapters
- Rumble Seat V3 (1 Bumper Bar, 1 Lower Adapters, 3-Year Warranty and 1 Bug Shield)
- Bassinet
- Bassinet Bug Shield
- Mattress
- Mattress Cover
- 3 Year Warranty
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
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
4.0 ★★★★★
Based on 1850 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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