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Description
maxi cosi double umbrella stroller Silver Cross Wave 3 Single-to-Double StrollerFuture. Proof. Parenting. The original baby brand Silver Cross has perfected just that with the NEW Wave 3, the ultimate single to double stroller system. The first of its kind Wave 3 is ready to grow with the main seat, bassinet AND tandem seat for a total of 12 single and double riding modes straight out of the box. They have included it all from the start so you dont have to worry about it later. Offering flexibility and longevity from day one,
Future. Proof. Parenting.
The original baby brand Silver Cross has perfected just that with the NEW Wave 3, the ultimate single to double stroller system. The first-of-its-kind Wave 3 is ready to grow with the main seat, bassinet AND tandem seat for a total of 12 single and double riding modes straight out of the box. They have included it all from the start — so you don’t have to worry about it later.
Offering flexibility and longevity from day one, optional accessories can be added on to Wave 3 create up to 30 modes in total, and carry up to 3 little passengers. Going above and beyond, weight capacities of up to 55 lbs for both its main & tandem seats will allow you to all enjoy the stroll together, longer.
Wave 3 is the ultimate in not just versatility but also refined luxury, as it’s British tailoring includes their world renowned attention to detail across all fabrics, vegan leather and hardware touchpoints.
Read on to learn how Wave 3 stands out from the rest.
NEW Wave 3 Upgrades
- Main seat, Bassinet & Tandem seat included
- 12 single-to-double modes, straight out of the box
- Bassinet facing parent while tandem seat faces world mode, straight out of the box
- Bigger basket to carry all the essentials and more
Key Features
- Main seat and tandem seat carries toddlers up to 55 lbs
- Best in class maneuverability and enhanced suspension
- Magnetic Genius™ buckle clicks together & releases easily—cleverly, as all is child-proof
One plus One® System | 12 Modes Included!
- Starts as a single stroller with included bassinet AND tandem seat
- Converts to a double (12 Modes)
- Switches easily & quickly between modes
- No additional purchases needed!
30 Flexible Modes
- Allows you ride twin or triple up
- Perfect for growing families
- Add on an additional bassinet (sold separately)
- Add on your car seat (adapters sold separately)
- Add on a ride-on board (sold separately)
Feature-Packed Frame
- Patented two height riding positions elevate & bring baby closer to you
- Four-way dynamic suspension
- Smooth, easy-action fold
- Height adjustable handlebar
- Strong & durable Magnesium Aluminum Alloy Frame
- Wave Carries it all—up to 187 lbs!
Seat Details
- Holds riders up to 55 lbs
- Faces rearward & forward
- Magnetic Genius™ buckle clicks together & releases easily—cleverly, as all is child-proof
- One-handed, multi-position reclining seat is roomy & robust
- Adjustable calf rest & integrated footrest for added comfort
- UPF 50+ extended hood with pop-put sun visor & peek-a-boo window
Bassinet Details
- Perfect for newborn strolling
- Suitable for overnight sleeping
- Ventilated UPF 50+ extended hood with pop-put sun visor & peek-a-boo window
- Bamboo fabric lining
- Removable, washable mattress
- Included Apron for added warmth
- Compatible with Silver Cross Wave bassinet stand
Travel System Capable
Compatible infant car seats with Wave car seat adapter accessory (sold separately) include
- Clek: Liing
- Cybex: Aton, Aton Q, Cloud Q, Aton G & Cloud G
- Maxi Cosi®: Mico 30, Mico Max, Coral XP & Mico Luxe+
- Nuna®: Pipa™, Pipa™ Lite , Pipa™ Lite LX, Pipa™ RX, Pipa™ Aire, Pipa™ Aire RX, Pipa™ Urbn
What's included
- Chassis
- Overnight sleep approved bassinet
- Main Seat unit
- Tandem seat
- Two bumper bars
- One rain cover
- One universal bug net
- Bassinet adaptors
- Tandem adaptors
- Cup Holder
Specifications
- Bassinet usage: from birth to 6 months or when baby can push up or roll over
- Main Seat usage: 6 months to 55 lbs
- Tandem Seat usage: 6 months to 55 lbs
- Open dimensions: L 43.7” X W 23.5” X H 37-43”
- Folded dimensions: L 37.4” X W 23.5” X H 15.5”
- Chassis weight: 23.5 lbs
- Main seat weight: 5.8 pounds
- Tandem seat weight: 5.3 pounds
- Bassinet weight: 8.5 pounds
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]
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4.7 ★★★★★
Based on 11 reviews
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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.
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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!
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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.
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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.
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Reviewed in the United States on February 26, 2022