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Description
cybex aton fotelik Cybex Aton G2 Infant Car Seat + Load Leg BasePrioritizing safety and comfort, the CYBEX Aton G2 infant car seat exceeds expectations from day one. It features advanced Linear Side Impact Protection and a Load Leg Base designed to absorb and minimize collision forces on your child in the event of a crash. Intuitive features include SensorSafe Smart Technology, which alerts you to unsafe conditions, and the SafeLock Belt Tensioner, ensuring correct and easy installation every time. Its lightweight
Prioritizing safety and comfort, the CYBEX Aton G2 infant car seat exceeds expectations from day one. It features advanced Linear Side-Impact Protection and a Load Leg Base designed to absorb and minimize collision forces on your child in the event of a crash. Intuitive features include SensorSafe Smart Technology, which alerts you to unsafe conditions, and the SafeLock Belt Tensioner, ensuring correct and easy installation every time. Its lightweight design ensures effortless mobility when transporting your little one from car to stroller. The Aton G2 delivers the thoughtful safety and convenience you expect from the world's number one premium car seat brand.
- LIGHTWEIGHT DESIGN, ADVANCED SAFETY: With its lightweight design, the Aton G2 is one of the easiest carriers to install and carry, without compromising on safety.
- SENSORSAFE TECHNOLOGY: SensorSafe™ keeps you informed through instant smartphone notifications, so you’ll know if your child’s chest clip opens, the car becomes too warm or cool, or they’re left alone.
- LINEAR SIDE-IMPACT PROTECTION (L.S.P.): Integrated directly into the seat's shell, the L.S.P. System effectively reduces crash force on the child in the event of a side impact collision.
- LOAD LEG BASE: Integrated into the base, the height-adjustable Load Leg extends down to the vehicle floor helping to transfer energy and reduce crash forces on the child by up to 30%.*
- EASY AND SECURE INSTALLATION: The SafeLock belt tensioner offers quick, simple and secure installation.
- GREENGUARD GOLD CERTIFIED: Ensures lower chemical emissions; contributes to healthier air quality around your child.
- ENGINERRED FOR PROTECTION: Our child restraint systems are fully compliant with FMVSS 213b side and frontal-impact safety standards—meeting the highest safety standards for crash protection.
- OPTIMAL BREATHABILITY: Keep your child comfortable in all seasons thanks to all-around air ventilation with the perforated shell and mesh fabrics.
- 11-POSITION ADJUSTBLE HEADREST: The 11-position height-adjustable headrest features an integrated harness guide that automatically adjusts the harness length as the headrest is raised, eliminating the need for rethreading.
- OVERSIZED SUN PROTECTION: Providing maximum sun protection, the UPF50+ oversized canopy elegantly tucks away when not in use.
- FIRE-RETARDANT CHEMICAL-FREE FABRIC: The FR-free materials used in CYBEX car seats pass all regulatory requirements while containing no additional added FR-chemicals.
- TRAVEL SYSTEM COMPATIBLE: Easily attaches to your CYBEX stroller creating a convenient and versatile travel system designed for life's adventures on the go.
- EASY-IN BUCKLE PAD: Keeps the buckle forward and out of the way, making it easier to secure your child.
- FAA-COMPLIANT: Approved for use on aircraft without the base, offering a safe, convenient solution for flying families.
- EASY TO CLEAN: The seat fabrics are crafted for easy care, enabling hassle-free machine washing to keep the car seat fresh and clean with minimal effort.
Specifications
- Birth to 30 lbs
- Dimensions: 26.1"L X 17.5"W X 14.7"H
- Carrier weight: 9 lbs.
- Compatible with all Cybex strollers
*As compared to the same car seat without this feature
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4.8 ★★★★★
Based on 21 reviews
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Product Reviews
★★★★★ 5
Need to read book
Format: Hardcover
The truth about the Native people.
THANK YOU Kent for writing this book.
We purchased about 12 total.
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Reviewed in the United States on November 24, 2019
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents.
The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!!
The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!!
I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge.
Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents.
Personally I was disappointed by lack of any example on time series.
Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book.
For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch.
For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min).
From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures.
I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications.
Several textbook editions later, what is different about this new edition?
First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills.
Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like.
Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
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Reviewed in the United States on February 26, 2022
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025