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Description
cybex revolving car seat Cybex Callisto G 360 Rotating All-in-One Car SeatThe Callisto G 360 with SafetyAssure Protection System is the ultimate all in one car seat, designed to prioritize your childs safety and comfort at every turn. Offering peace of mind, its equipped with innovative safety features. Whether youre bringing home a newborn or driving your big kid to school, the Callisto G 360 grows with your childfrom 4 pounds to 65 pounds in harness mode, and up to 120 pounds as a booster seat. Safety has never been this
The Callisto G 360 with SafetyAssure Protection System is the ultimate all-in-one car seat, designed to prioritize your child’s safety and comfort at every turn. Offering peace of mind, it’s equipped with innovative safety features. Whether you’re bringing home a newborn or driving your big kid to school, the Callisto G 360 grows with your child—from 4 pounds to 65 pounds in harness mode, and up to 120 pounds as a booster seat. Safety has never been this simple, from day one through grade school!
Specifications
- Fasten the tether to your vehicle's anchor point for added stability. Route the seatbelt through the belt guide, click it into place, close the SafeLock door, and secure the car seat. Tether, Route, Click & Go!
- 360° rotation in any rcline position.
- Can be rotated toward the car door in any recline position, making it easy to load your child and ensuring you always have the proper recline setup.
- With five recline options, whether rear or forward-facing, your child is guaranteed a comfortable ride every time.
- Anti-Rebound Base with SecureFix360 Tether, Linear Side-impact Protection, and SensorSafe Bluetooth-enabled chest clip for added peace of mind.
- The steel frame construction integrates the seat and base, providing reinforced crash protection for superior safety. *Based on head and chest injury metrics as compared to the same seat without these features.
- Anti-Rebound Base with SecureFix360 Tether minimizes movement during a crash and ensures maximum stability.
- Linear Side Impact Protection effectively reduces crash forces on the child in the event of a side impact collision.
- SensorSafe Bluetooth-enabled chest clip sends mobile app alerts if a child unbuckles the chest clip, if the back seat becomes too warm or too cold, and if the driver unintentionally leaves the child behind. It also notifies emergency contacts if no action is taken, sharing your location.
- ALL–IN–ONE seat with 3 modes of use from birth through elementary school years: Rear-Facing, Forward-Facing and Belt Positioning Booster.
- Naturally flame resistant, passing federal safety standards without harmful fire-retardant chemicals.
- Adjustable, oversized UPF50+ canopy protects and provides shade for full sun protection.
- 12-Position adjustable headrest and removable multi-stage infant insert ensure proper fit and support for your child.
- Mesh fabric details combined with ventilation holes in the shell keep your child cool and comfortable.
- Buckle Pad and Magnetic buckle holders keep the straps and buckles out of the way for hassle-free loading and unloading, making buckling up your child quick.
- The seat includes two integrated, removable cupholders that are dishwasher-safe for easy cleaning.
- Spills and messes happen; the premium seat fabric is machine-washable for easy cleaning.
- Suitable from birth to 120 lbs.
- 2-year warranty.
Dimensions & Weight
- 21.7"L X 18.7"W X 25.5"H
- Car seat weight: 35 lbs.
- Birth to 120 lbs.
- Car Seat Rear-Facing: Min Height: 17", Max Height: 43.3".
- Car Seat Rear-Facing: Min Weight: 4 lbs. , Max Weight: 40 lbs.
- Car Seat Forward Facing: Min Height: 34.3", Max Height: 49.2".
- Car Seat Forward Facing Min Weight: 26.5 lbs. , Max Weight: 65 lbs.
- Belt-Positioning Booster: Min Height: 43.3" , Max Height: 57".
- Belt Positioning Booster: Min Weight: 40 lbs., Max Weight: 120 lbs.
What's Included
- Car Seat
- SensorSafe
- Removeable Sun Canopy
- Multi-Stage Infant Insert
- Cup Holders
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
4.8 ★★★★★
Based on 22 reviews
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Product Reviews
★★★★★ 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
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper.
As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture.
So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money.
The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018