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Description
cybex serona Cybex Sirona Gi i-Size 360 Car Seat with Isofix Base – Magic Black – Mamas & Papas UKCybex Sirona Gi i Size 360 Car Seat with Isofix Base Magic Black The latest car seat in the successful Sirona line is the most comfortable yet: the Sirona Gi i Size. Extended rear facing for safer travel up 20kg, this car seat also features integrated Linear Side impact Protection for defence from all directions. A range of innovative features also upgrade your childs comfort, including 360 rotation in any recline position with the easy rotation
Cybex Sirona Gi i-Size 360 Car Seat with Isofix Base – Magic Black
The latest car seat in the successful Sirona line is the most comfortable yet: the Sirona Gi i-Size. Extended rear-facing for safer travel up 20kg, this car seat also features integrated Linear Side-impact Protection for defence from all directions.
A range of innovative features also upgrade your child’s comfort, including 360° rotation in any recline position with the easy rotation handle, for smooth on and off boarding. Innovative all-round air ventilation means the ride stays cool.
Five recline positions are available in either direction to ensure ultimate comfort for your child, whether they’re a tiny newborn or a fully-grown four-year-old (newborn inlay accessory sold separately).
Comfort and safety for their first four years with the Sirona Gi i-Size.
*compared to the same seat forward-facing in a frontal crash. Result of internal testing using 2022 ADAC frontal crash test criteria.
Product Features:
- Extended rear-facing – one of the safest ways to travel in a car seat. In the critical first moments of a frontal impact, the child’s body is pushed against the padded car seat shell. This keeps movement to a minimum and reduces force acting on the child’s neck. Mandatory up to 15 months (76 cm), we recommend keeping your child rear-facing for as long as possible. The Sirona Gi i-Size is designed for your child to sit comfortably rear-facing until they weigh 20 kg.
- A stress-free start to your journey. Just swivel the car seat using the easy rotation handle to face the car door and get your child onboard, in any recline position. You can avoid back strain, while your child stays comfortable in the recline position that fits them, whether they’re a newborn or a toddler. Switching from rear to forward-facing travel is just as easy.
- The all-round air ventilation of Sirona Gi i-Size allows air to flow through ventilation channels within the car seat, carrying away heat and helping avoid a hot and sweaty ride for your little one. Choosing the mesh fabric available on the Plus version increases airflow even more – with up to 6 times more breathability than comparable car seat fabrics. The clear choice for comfort in any season.
- When you’re getting your child strapped into the car seat, you need all the help you can get. The Sirona Gi i-Size features ingenious loops designed to keep the harness out of the way as you get your child onboard.
- As your baby grows, adjust the Sirona Gi i-Size headrest for a comfortable fit at every stage. 12 positions allow a tailored fit to your child, with the harness lengthening automatically with each adjustment. And it can be adjusted with one hand for extra ease of use.
- The Linear Side-impact Protection defends your child against the force of a side impact. Working together with the energy-absorbing shell, the L.S.P. System significantly reduces the effect of impact force on the child.
- For every moment, whether your little one is a newborn or a growing child, the ideal recline setting is available in both riding directions – and in the boarding position, too. And when your child falls asleep in the seat, you can recline it with one hand, letting them dream that little bit longer.
- It only takes moments to set up your Sirona Gi i-Size. Use an ergonomic handle to click the ISOFIX into the vehicle seat and extend the load leg down to the car floor. Both provide stability and extra safety in the event of an accident. Visual indicators help you confirm the seat is ready to protect.
This Item Includes: Sirona Gi i-Size Car Seat & Integrated ISOFIX Base
Age Suitability: 3 months to approx. 4 years (from birth with newborn inlay – sold separately)
Weight Suitability: Max 20kg
Composition: Polyester blend
Health & Safety: UN R129/03
Care & Maintenance: Wash fabrics at 30 degrees, wipe down.
Self-Assembly Required?: Assembled
Dimensions: 71cm x 44cm x 75cm
Weight: 13kg
- Up to 50% higher safety levels
- Quick and easy on-boarding
- Optimal breathability
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4.4 ★★★★★
Based on 1382 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
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