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Description
uppababy cruz dune UPPAbaby CRUZ V2 StrollerCRUZ V2. Compact without compromise. Parenting is full of adjustments like learning to function on little sleep or never leaving the house again without an arsenal of supplies. Fortunately for parents there's been no compromising with the CRUZ V2. Its streamlined design gives you more without weighing you down. So stroll down bumpy city streets, maneuver around crowded malls, and load your basket with whatever you need. Relax, the world is still your
CRUZ V2. Compact without compromise.
Parenting is full of adjustments like learning to function on little sleep or never leaving the house again without an arsenal of supplies. Fortunately for parents there's been no compromising with the CRUZ V2. Its streamlined design gives you more without weighing you down. So stroll down bumpy city streets, maneuver around crowded malls, and load your basket with whatever you need. Relax, the world is still your oyster.
Updates
- New colors
- More Comfort for Growing Toddlers: A higher back, longer leg rest and deeper footrest on the toddler seat provide added comfort for growing children.
- Optimal Suspension Performance: Patent pending, dual-action rear suspension softens the ride no matter a child's weight.
- Bigger Wheels, Better Ride: Large front and rear tires create a smoother ride over tough terrain.
- Extendable Canopy: Extra fabric can be unzipped to extend the canopy for more sun coverage. Extension has a mesh mesh peek-a-boo window to keep an eye on your little one and for ventilation. There's a second mesh panel toward the front of the canopy that can be opened for even more airflow.
- Downsized Fold: Cruz V2 folds smaller than its predecessor, making it even easier to carry and tuck into tight spaces or trunks.
Features
- Compact stroller frame: The slim design allows you to fit through tight doorways, down narrow aisles, along crowded city sidewalks and rocky garden paths with ease.
- Reversible toddler seat: Your toddler can ride forwards, backwards, completely upright, fully reclined and anywhere in between.
- One-handed multi-position recline: The multi-position recline allows your child to lie comfortably for naps or sit upright to take in the sights, offering the flexibility your busy toddler needs.
- 5 point safety harness: With a no-rethread harness for faster and easier height adjustments.
- Extendable, SPF 50+ zip out canopy: The zip-out canopy on the Toddler Seat extends for additional sun protection, and mesh panels make it east to peek in while adding airflow.
- Adjustable canopy: Easy-slide canopy is height-adjustable which locks into place to accommodate growing children.
- Telescoping handlebar: The adjustable handlebar makes it comfortable for parents of varying heights to stroll with baby.
- Leather Handlebar: Genuine leather handlebar and bumper bar covers. It's REACH certified with no chemicals used in the tanning process. The handlebars are hand stitched onto stroller and will get darker and softer over time. It's also replaceable if it gets ruined.
- Extra-large easy-access basket: The large opening means it’s easier to reach your diaper bag, toys, and whatever else you pick up along the way. There is extra storage pocket for accessories like a rain cover or car seat adapters. Approved up to 25 lbs.
- One-step fold. Stands when folded: The CRUZ one-step fold is easy and intuitive. The stroller stands on its own when folded and can be folded with or without the Toddler Seat attached.
- Included Bumper Bar: One-hand release, pivoting bumper bar for easy loading– great for little ones to hold onto or to attach toys and lovies.
- Shock-absorbing all-wheel suspension: Independent shocks ensure your child has a smooth and comfortable ride whether traveling down winding paths or over bumpy pavement.
- AirGo patent-pending tires: Large, 10” rear wheels mimic the cushioned ride of an air-filled tire with the lightweight benefit of foam. Provides the ultimate in shock-absorbing performance with tires that never go flat.
- All-weather protection: Included rain and bug shields protect your child from whatever Mother Nature throws your way.
- From birth with Bassinet: Transform your CRUZ into a pram that is ideal for your newborn. Whether for naps on the go or overnight sleeping, the Bassinet accessory allows your baby to lie completely flat in a healthy resting environment (sold separately).
- Extra support for babies: Designed with infants in mind, the Infant SnugSeat provides extra comfort and stability for your baby’s neck and back when strolling (sold separately).
- Performance Travel System: Compatible with Mesa — direct attachment, no adapters necessary. The CRUZ is also compatible with select Chicco, Maxi-Cosi, Nuna, Cybex, Clek, Peg Pereggo and Graco infant car seats with the required adapters.
- Expandable: Allows you to transport another child without growing wider with the PiggyBack Board.
Specifications
- Suitable from 3 months to 50 lbs.
- Unfolded: 37″ L x 22.3″ W x 40.5″ H
- Folded with seat attached: 17″ L x 22.3″ W x 36″ H
- Folded without seat: 13″ L x 22.3″ W x 36″ H
- Frame + Seat: 21.5 lbs
- Wheels: 7" front and 10" rear
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4.4 ★★★★★
Based on 30 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