SKU: 89463665082
cybex platinum car seat washing instructions

cybex platinum car seat washing instructions CBX by CYBEX® Car Seat Solution X i-Fix (100-150cm) Grey

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Description

cybex platinum car seat washing instructions CBX by CYBEX® Car Seat Solution X i-Fix (100-150cm) GreyThe CYBEX Solution X i Fix meets the latest UN R129 regulations. It's one of our original car seats, proving we've been top quality since day one. The original Solution A car seat with CYBEXs world renowned, patented reclining headrest, which keeps the childs head in the seats protected zone. This is up to seven times safer for their head and neck, and keeps your loved one comfortable when they nod off. Meeting the latest UN R129 regulations, this car

The CYBEX Solution X i-Fix meets the latest UN R129 regulations. It's one of our original car seats, proving we've been top quality since day one.

The original Solution

A car seat with CYBEX’s world-renowned, patented reclining headrest, which keeps the child’s head in the seat’s protected zone. This is up to seven times safer for their head and neck¹, and keeps your loved one comfortable when they nod off. Meeting the latest UN R129 regulations, this car seat will last until your child turns 12.

Specifications:

  • UN R129/03
  • Group: GR. 2/3 
  • Weight: 15 - 36 kg
  • Height: From approx. 100 up to 150 cm
  • Age: From approx. 3 up to 12 years
Care Instructions:
  • Fabric covers are machine washable at 30°
Compatible with:
  • ISOFIX guides
  • Summer cover

Patented Reclining Headrest: Helps to prevent the head from tilting forward while sleeping.

Up to 7x safer for the head¹

Thanks to its patented 3-position reclining headrest, the Solution X i-Fix supports your child’s head when they nod off, keeping it up to seven times safer in the process. This car seat practically guarantees a sound sleep, with your child's neck and head staying well protected in the safety zone of the seat.

Grows with the child

Use the 11-position height-adjustable headrest to adjust the Solution X i-Fix head and shoulder protectors, keeping pace with all your child's growth spurts up until they're 150 cm tall or 12 years old.

Easy installation

The car seat’s ISOFIX System offers enhanced safety and stability, plus easy one-click installation. The seat's connectors simply snap into the vehicle's ISOFIX anchorage points. The connectors can also be easily folded away, making the seat compatible with cars without ISOFIX.

Optimal protection for peace of mind: The Solution X i-Fix car seat is approved according to the latest UN R129/03 safety standard, and rigorous safety testing you can rely on.

Reduces side-impact forces: Linear Side-impact Protection integrated into the side wings of the seat delivers extra protection in the event of a side impact.

Perfectly adjusts to the vehicle seat: An adjustable backrest helps the Solution X i-Fix align perfectly with your vehicle seat to provide the most comfortable position for your child.

Dimensions:
  • Length: 380 mm
  • Width: 470 mm
  • Height: 640 mm
  • Weight: 7 kg
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SKU: 89463665082

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4.8 ★★★★★
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Verified Purchase
Amazon Customer
Lowell, US
★★★★★ 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
K
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Kindle Customer
Chelsea, US
★★★★★ 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
T
Verified Purchase
Tommy Jonsson
Charlottesville, US
★★★★★ 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
M
Verified Purchase
Moses Kayanda
Omaha, US
★★★★★ 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
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Verified Purchase
Gabe Rigall
Birmingham, US
★★★★★ 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

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