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Description
cybex gazelle s snack tray Cybex E - Gazelle S StrollerEmbark on all your family adventures with a stroller designed for versatility and convenience. The CYBEX e Gazelle S stroller seamlessly integrates smart technology, providing electric power on demand to conquer any terrain with ease. Whether youre navigating uphill climbs or cruising downhill, this stroller adapts to your familys changing needs, supporting over 20 configurations and effortlessly converting from a single to a double stroller. With a
Embark on all your family adventures with a stroller designed for versatility and convenience. The CYBEX e-Gazelle S stroller seamlessly integrates smart technology, providing electric power on demand to conquer any terrain with ease. Whether you’re navigating uphill climbs or cruising downhill, this stroller adapts to your family’s changing needs, supporting over 20 configurations and effortlessly converting from a single to a double stroller.
With a spacious shopping basket and a lower basket that can hold up to 55 lbs, you can carry all your essentials for the day ahead. When it’s time to wind down, the gentle rocking feature offers three soothing settings to help calm your little one after a busy day.
Features:
- SMART ASSIST MODE: Enjoy forward power and downhill brake assist with a convenient lever on the handlebar, no app required.
- ROCKING FEATURE: Three gentle settings to soothe your child.
- SMART SAFETY: Includes a two-step safety delay start mode for added peace of mind.
- SINGLE TO DOUBLE: Converts easily without additional adapters.
- 20+ CONFIGURATIONS: Compatible with a second seat unit, Gazelle S Cot, or any CYBEX Infant Car Seat (sold separately).
- EASY FOLD: Folds with two seat units attached.
- ONE-PULL HARNESS: User-friendly harness system for quick securing of your child.
- ONE-HAND ADJUSTABLE RECLINE: Independent adjustments for customized comfort.
- SHOPPING BASKET: Removable and holds up to 25 lbs.
- LOWER BASKET: Extra-large for easy access, with a 30 lbs. max load.
- PREMIUM DESIGN: Robust aluminum frame, leatherette handlebar, and high-quality fabrics.
- SMOOTH ALL-WHEEL SUSPENSION: Integrated frame shock absorption for a smooth ride.
- XXL SUN CANOPY: Extendable with a UPF 50+ rating and mesh window.
- REVERSIBLE SEAT UNIT: Reclines to a near-flat position for comfort.
- WEIGHT CAPACITY: 50 lbs. for each seat unit (second seat unit sold separately).
- HEIGHT-ADJUSTABLE HANDLEBAR: One-hand adjustment for comfortable steering.
- TRAVEL SYSTEM READY: Compatible with various infant car seats using included adapters.
- ACCESSORIES: Additional items available, including a second seat and cot.
Suitable from 3 months to 50 lbs.
Wheels:
- Foot pedal parking brake.
- Lockable front swivel wheels and rear wheels.
- Foam filled tires for durability.
- Front Wheel Diameter: 7.9", Rear Wheel Diameter: 11".
What's Included:
- eGazelle Stroller Frame, 1 Seat Unit, Bumper Bar, Shopping Basket, Battery Pack, Charger, Rain Cover, Car Seat Adapters, Cup Holder.
Dimensions:
- Assembled: 42.3"L X 26"W X 43.3"H
- Folded: 32.3"L X 26"W X 15.3"H
Material:
- Exterior: 100% Polyester; Padding: 100% Polyester.
- Composition: 65% Aluminum; 15% Polyester; 15% Plastic; 5% Rubber.
Fabric Care:
Machine wash separately. Gentle action wash in warm water, do not bleach, tumble dry, iron, or dry clean.
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 30 reviews
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Product Reviews
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material.
At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play.
I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field.
In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you.
Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”.
I use this as a reference when teaching AI concepts and preparing presentations.
I highly recommend it
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Reviewed in the United States on April 5, 2025
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024