Pay in installments of $6.29 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 24 - Jul 29
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
nuna compact stroller Nuna TRVL lx Compact StrollerWith baby as your co captain, every moment, no matter how ordinary, has the potential to be made extraordinary. A fresh perspective on day to day outings with your little one starts now. The TRVL lx stroller presents you with the compact freedom you need to get out and about, regardless of how near or far the journey leads. Its designed to never weigh you down and has a one handed fold that redefines what youve previously known about moving through
With baby as your co-captain, every moment, no matter how ordinary, has the potential to be made extraordinary.
A fresh perspective on day-to-day outings with your little one starts now.
The TRVL lx stroller presents you with the compact freedom you need to get out and about, regardless of how near or far the journey leads. It’s designed to never weigh you down and has a one-handed fold that redefines what you’ve previously known about moving through your day with grace and ease. With its leveled-up wheel profile, you’re ready to navigate whatever the road ahead has in store.
The TRVL lx is an invitation to add luxury to your daily adventures and turn every stroll into a celebration.
Features:
- 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
- Simple one-touch rear-wheel braking system
- The 3 to 5-point no-rethread harness makes it easy to fasten them in
- 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
- A 2-position adjustable calf support for growing legs
- Go hands-free and store away during travel with the included carry bag
- Luxe leatherette accented pushbar 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
Specifications:
RECOMMENDED USE:
Birth to 50 lbs
When using the stroller frame with the infant carrier, refer to the child usage requirements listed in those instruction manuals.
Stroller dimensions: L 32 in x W 21 in x H 45.5 in
Stroller dimensions (folded): L 14.25 in x W 21 in x H 27 in
WEIGHT: 14.6 lbs (without canopy and armbar (canopy and armbar approx. 2.4 lb))
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
4.9 ★★★★★
Based on 26 reviews
Sort
Product Reviews
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid.
I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets.
As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before.
I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt.
PROS:
- Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way.
- Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops.
- Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages.
- Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them.
- PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly.
CONS:
- Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste.
- Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022