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Description
maxi cosi zelia infant insert Maxi-Cosi Zelia Pro 5-in-1 Modular Travel System Caspian CaviarDesigned for discerning parents who value versatility, comfort, and enduring quality, the Zelia Pro empowers you to embrace each day with confidence. From your babys first ride to toddlerhood adventures still to come, this thoughtfully engineered system transitions seamlessly across 5 distinct modes: a parent facing car seat caddy, a reversible baby carriage, and a reversible toddler stroller. Large wheels offer smoother strolling and easier
Designed for discerning parents who value versatility, comfort, and enduring quality, the Zelia™ Pro empowers you to embrace each day with confidence. From your baby’s first ride to toddlerhood adventures still to come, this thoughtfully engineered system transitions seamlessly across 5 distinct modes: a parent-facing car seat caddy, a reversible baby carriage, and a reversible toddler stroller. Large wheels offer smoother strolling and easier maneuverability, while the extra-large storage basket keeps all your essentials close. Zelia Pro accommodates children up to 50 lbs. and 39".
Included is the Mico™ Pro Infant Car Seat, a lightweight yet secure companion designed to cradle your newborn in plush comfort. Featuring removable, ultra-soft infant inserts and premium PureCosi™ fabrics, it ensures your little one is enveloped in cozy serenity. The Mico Pro accommodates infants from 4–30 lbs. and up to 32".
Both the stroller and infant car seat have vegan-leather accents for added style and comfort and are designed with EcoCare fabric, our premium, future-friendly, 100%-recycled fabric made from plastic bottles. The yarn produced is soft, comfortable, and breathable.
Actual fit may vary. Not all children will comfortably fit in the seat for the full weight and height ranges listed.
- Features 5 modes of use: parent-facing car seat caddy, reversible baby carriage, and reversible toddler stroller
- Extra-large storage basket fits larger items with easy access, up to 15 lbs.
- Extendable MaxShade canopy on stroller for sun protection with UPF 50 and a mesh window
- Ergonomic, 4-position stroller handle can be adjusted to your preferred height for a customized, comfortable push and features a removable parent cup holder
- Large wheels offer smooth strolling, agile turning, all wheel suspension, and easy maneuverability
- Stroller accommodates children up to 50 lbs. and 39"
- Bumper bar swings to the side to easily get baby in and out of the stroller seat
- Includes the Mico™ Pro Infant car seat for babies from 4–30 lbs. and up to 32"
- Infant car seat designed with ClimaFlow™ technology, providing added ventilation to help keep baby cooler
- Stylish vegan-leather accents on both stroller and car seat
- Easy-to-fold stroller for convenient storage and transport
- Stroller features removable, machine-washable infant insert and harness covers
- Both the stroller and infant car seat are designed with EcoCare fabric, our premium, future-friendly, 100%-recycled fabric made from plastic bottles. The yarn produced is soft, comfortable, and breathable
- Infant car seat features PureCosi™ fabric made without added fire-retardant treatment
- Contoured, ergonomic car seat handle curves around your hip for a more comfortable carry
- Infant car seat inserts can be easily removed without rethreading the harness
- All car seat fabrics are machine-washable and dryer-safe
- Car seat has extra plush padding on the infant head and lumbar inserts to ensure a comfortable, secure ride
- Large, visible belt guides make installing the car seat without the base (taxi-mode) intuitive and seamless
- 1-handed release from car seat base and stroller
- Includes a convenient stay-in-car infant car seat base with 3 adjustable positions, and 1-click LATCH system for easy, secure installation
- Stroller meets Disney park size requirements
- Car seat is airplane ready—perfect for travel
- Car seat is engineered and tested to meet or exceed federal safety standards
- Car seat meets federal Side Impact standard
Specifications
- Dimensions: 47.64"H x 24.61"W x 39.76"D
- Product weight: 26.37 lbs
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4.5 ★★★★★
Based on 2401 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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