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Description
cybex sirona us CybexCybex Sirona GI I Size Plus Car Seat Sirona Gi i Size is the latest car seat in the Sirona line. Facing backwards to ensure a greater level of safety, it is equipped with notable innovative features, such as the linear side impact protection system, 360 rotation or ventilation, also 360, to ensure the same comfort during the whole trip. Thanks to the possibility of reclining the seat in up to 5 different positions, the Sirona Gi I Size guarantees
Cybex - Sirona GI I-Size Plus Car Seat
Sirona Gi i-Size is the latest car seat in the Sirona line. Facing backwards to ensure a greater level of safety, it is equipped with notable innovative features, such as the linear side impact protection system, 360° rotation or ventilation, also 360°, to ensure the same comfort during the whole trip. Thanks to the possibility of reclining the seat in up to 5 different positions, the Sirona Gi I-Size guarantees maximum comfort for both newborns and older children.
Includes
- Sirona G I-Size Car Seat
- Car base
Characteristics
- ISOFIX SYSTEM: Use an ergonomic handle to attach the ISOFIX system to the car seat and extend the loading leg. Both will guarantee maximum stability and safety. Visual indicators will confirm when the seat is ready to be used.
NOTE: For basic installation, pay attention to the i-Size logo. If your vehicle seat is marked with this logo, it is suitable for use with all i-Size child seats and will therefore not appear on our list of compatible vehicles. If your vehicle is not equipped with an i-Size seat, check its compatibility.
- 360° ROTATION: thanks to the car base it is possible to rotate the seat up to 360° and position it in the rearward facing direction, mandatory up to the child's age of 15 months (76 cm), to guarantee greater safety in the event of a frontal impact.
- 180° ROTATION: thanks to the car base it is possible to rotate the seat towards the door to facilitate entry and correct positioning by the mother.
- BREATHABILITY: The 360° ventilation system allows air to pass through the channels of the seat, dissipating heat and preventing the child from sweating during the journey.
- MESH FABRIC: The Plus version includes a mesh fabric which increases breathability six times compared to common fabrics used.
- 5 RECLINING LEVELS: choose between five different positions in both directions of travel and in the boarding position so as to always allow the child maximum comfort even during naps.
- ADJUSTABLE HEADREST: Choose from 12 levels of adjustment and adjust the belt automatically with just one hand to adapt the seat to your child's growth.
- SIDE PROTECTION: the linear protection system (LSP) protects the child in the event of a side impact, acting together with the highly energy-absorbing shell, reducing the effect of the impact force on the child.
Compatible with (sold separately)
SIRONA G I-SIZE NEWBORN INSERT (sold separately)
Thanks to the Cybex adapter it will be possible to use the Sirona G I-Size car seat from your child's height of 40 cm, simply apply it directly to the seat to allow its use in complete safety and comfort until the measurements required by the approval are reached.
Technical specifications
- Age range: 3 months - 4 years
- Child height: 61-105cm
- Child weight: max 20 kg
- Regulation: ECO R129/03
- The fabric covers are machine washable at 30°
- Item weight: 13kg
- Item measurements: length 710 x width 440 x h 750 mm
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4.7 ★★★★★
Based on 19 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