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Description
nuna 360 stroller Nuna SWIV StrollerBy the end of the day parents are full of experiences with their little one a walk in the park, stroll on the street, or a family road trip. The daily rhythm of parenthood pulses with countless moments of movement. Some mundane and some magical. And at the end of the day, they come together to create a vibrant soundtrack of life. Imagine a choreography of movement orchestrated by the 360 degree swivel of your stroller wheels. As you navigate bustling
By the end of the day parents are full of experiences with their little one - a walk in the park, stroll on the street, or a family road trip. The daily rhythm of parenthood pulses with countless moments of movement. Some mundane and some magical. And at the end of the day, they come together to create a vibrant soundtrack of life.
Imagine a choreography of movement orchestrated by the 360-degree swivel of your stroller wheels.
As you navigate bustling sidewalks and weave through crowded spaces, the wheels of the SWIV Stroller by Nuna glide effortlessly in directions never imagined for a stroller. The simple squeeze of a button makes them pirouette and twirl like a mesmerizing dance.
With each wheel revolution, the SWIV Stroller by Nuna creates harmony with the motion of your day and empowers you to embrace the spontaneity of parenthood with confidence and grace–taking every corner as it comes and pivoting in brand-new directions.
Nuna | BMW
Step into a world of exclusivity with the Nuna x BMW collection, where iconic BMW design elements subtly intertwine with Nuna’s distinctive style to capture a spirit of refined adventure.
Use
- Button-activated 360° rotation on all 4 wheels allows for side-to-side motion and instant pivot navigation
- In it for the long haul providing innovative strolls up to 50 lbs
- Seat faces both ways and folds flat no matter which direction baby’s been facing
- Removable and rotating armbar for easier ins and outs
- Pairs perfectly with all Nuna infant car seats and the LYTL™ bassinet
- Travel system ready—simply attach any PIPA™ series infant car seat with the included ring adapter
- Folding ring adapter with handle integrates into the stroller for a more compact 1-handed fold that stands on its own
Safety
- Self-guiding MagneTech secure snap™ buckles automatically lock into place
- 3 to 5-point no-rethread harness makes it easy to fasten them in
- Quick-engaging 1-touch rear-wheel braking system provides scuff-free security
Comfort
- Spring suspension technology built into the seat provides smooth rides by absorbing energy caused by uneven terrain
- 1-handed recline offers 3 on-the-go positions including a near-flat option for newborn comfort
- UPF 50+ water-repellent canopy is extendable and features a flip-out eyeshade and peek-a-boo window
- All-season seat keeps baby cozy in winter and easily converts to mesh in summer
- 2-position adjustable calf support for growing legs
- Durable footrest provides a resting place for tired feet
- All-wheel suspension and durable EVA foam-filled tires are ready for any terrain
Premium Details
- Carbon fiber reinforced aluminum frame offers unparalleled strength and durability while maintaining a remarkably lightweight profile
- Carbon fiber’s unique weave pattern on the frame creates a visually striking effect with a modern aesthetic
- Height-adjustable 3-position pivoting handle for comfortable strolling no matter your height
- Easily removable Merino wool and TENCEL™ lyocell insert provides ultra-soft comfort (TENCEL™ is a trademark of Lenzing AG)
- Large basket with 22 lbs capacity holds everything you need for the journey
- Zippered pocket on back of seat (and a secret one in the storage basket) for valuables
- Luxe leatherette accented pushbar and armbar add style to your strolls
- Includes all the extras: cup holder, rain cover, carry bag and travel system adapter
Material composition: Carbon fiber, Aluminum, Plastic, Polyester, Merino wool, Rubber, Steel
Wheels: EVA foam-filled tires, front and rear
Technical features:
- Rear and forward-facing seat
- All 4 wheels can swivel at the same time
- One-hand, 3-position recline
- Adjustable calf support with integrated footrest
- All-wheel suspension
Dimensions:
Open product: 42.5" x 34.5" x 21"
Folded product: 30.5" x 14.5" x 21"
Weight: 21.8 lbs (19.2 lbs without insert, arm bar, and canopy)
Care tips:
- Easy to clean
- Wash in cold water, delicate cycle
- Do not bleach
- Do not tumble dry
- Drip dry
- Do not iron
- Do not dry clean
What's included:
- SWIV Stroller
- Ring adapter
- Cup holder
- Rain cover
- Carry bag
Accessories sold separately:
- Wheeled travel bag
- Diaper bag
- Stroller wind cover
- Winter stroller set
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
4.2 ★★★★★
Based on 25 reviews
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Product Reviews
★★★★★ 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
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper.
As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture.
So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money.
The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence.
There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions.
The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work.
They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively.
There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning.
I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018