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Description
baby stroller and car seat nuna NunaModern rides, reimagined. Introducing the PIPA urbn and TRVL lx travel systema dynamic duo redefining on the go parenting. The TRVL lx stroller offers compact freedom and ensures every journey is a celebration with its one handed fold and leveled up wheel profile. Glide through life effortlessly, turning heads wherever you go. The PIPA urbn infant car seat pairs seamlessly with the TRVL lx and revolutionizes travel with its baseless installation,
Modern rides, reimagined. Introducing the PIPA urbn and TRVL lx travel system—a dynamic duo redefining on-the-go parenting. The TRVL lx stroller offers compact freedom and ensures every journey is a celebration with its one-handed fold and leveled-up wheel profile. Glide through life effortlessly, turning heads wherever you go. The PIPA urbn infant car seat pairs seamlessly with the TRVL lx and revolutionizes travel with its baseless installation, enabling secure transitions from car to taxi in mere seconds. Experience the future of mobility for you and your little one and elevate your adventures with this duo of style and functionality.
DETAILS THAT MATTER
Nuna TRVL™ LX
Use
- In it for the long haul providing smooth strolls from birth to 50 lbs.
- Near flat recline with seat that easily converts to bassinet mode for keeping littles extra cozy .
- Creates a sleek-looking travel system connecting directly with Nuna PIPA™ series car seats with just a click—no adapters needed.
- Folds easily with one hand and stands on its own when folded.
- Ultra-lightweight and easy to tote with carry strap or armbar when folded.
- One-handed steering and exceptional maneuverability make it a dream to push and turn.
- Front swivel wheels with swivel locks for more comfortable strolls on uneven terrain.
- Quick-release wheels make for an even more compact fold.
Safety
- Simple one-touch rear-wheel braking system.
- 3 to 5-point no-rethread harness makes it easy to fasten them in.
Comfort
- Shadow reel recline provides one-handed, customizable recline adjustments with more upright options.
- MagneTech secure snap™ is a self-guiding magnetic buckle that automatically locks into place.
- Water-repellent UPF 50+ canopy is easy to clean and provides premium coverage and multiple windows.
- Canopy extends and features airy mesh panels to provide extra comfort for sunny days and warm temps.
- Progressive front and rear-wheel suspension technology provides a smooth ride.
- Removable and rotating armbar fits kids of all sizes.
- 2-position adjustable calf support for growing legs.
Premium details
- Go hands-free and store away during travel with the included carry bag.
- Luxe leatherette accented push bar and armbar lend style to your strolls.
- Never-flat airless tires are ready to go for miles.
- Easy access shopping basket holds everything you need for the journey.
pipaFIX™ Car Seat
- 2-second* steel-reinforced pipaFIX™ rigid latch installation makes set up swift, simple, and above all safe.
- Ultralight for on-the-go at just 7 lbs.
- Travel with ease with pipaFIX™ or vehicle seat belt—no base needed.
- One-handed vehicle and stroller release for quick and easy in-and-outs.
- Auto-reclining foot that aids in proper installations in vehicles.
- European belt path for vehicle belt installations.
- Aeroflex™ foam that is cleverly lightweight, resilient, and minimizes force transferred to baby by absorbing and diffusing energy.
- Side Impact Protection for ultimate baby safe keeping.
- 5-point harness keeps travels secure.
- Sky drape™ pulls down smoothly and attaches quietly with magnets.
- Full-coverage UPF 50+ canopy is extendable and features a flip-out eyeshade and XL peek-a-boo window.
- From fabric to foam and beyond, each element is smartly sourced to be both flame resistant and contain no added fire-retardant chemicals.
- Integrated magnetic buckle holders help keep straps out of the way when buckling baby in.
- Head support includes a 2-layer soft surround to accommodate smaller babies.
- Infant head support and body inserts feature environmentally friendly Merino wool and TENCEL™ branded lyocell fiber blend that is soft, naturally controls moisture, and is environmentally friendly.
- Luxe leatherette carry handle for stylish journeys.
- GREENGUARD Gold Certified—products that have achieved GREENGUARD certification are scientifically proven to meet some of the world's most rigorous third-party chemical emissions standards, and certified to not contribute to indoor air pollution or chemical exposure.
- All installation types are baseless—no base needed.
- Not compatible with PIPA™ series base or RELX™ base.
- Set of included anchor guides make it easy to locate and install on the lower anchor bars in vehicle.
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
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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.
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4.3 ★★★★★
Based on 10 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