SKU: 69712456588
uppababy in store seattle wa

uppababy in store seattle wa UPPAbaby Mesa V3 Infant Car Seat

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Description

uppababy in store seattle wa UPPAbaby Mesa V3 Infant Car SeatThe UPPAbaby MESA V3 Infant Car Seat is the best UPPAbaby compatible infant car seat for parents who prioritize seamless stroller integration, safety innovation, and modern design. Ideal for babies from 4 to 30 lbs and up to 32 inches in height, the MESA V3 makes car seat installation effortless with its SMARTSecure system featuring auto retracting LATCH and a red to green tightness indicator that ensures proper installation every time. With

The UPPAbaby MESA V3 Infant Car Seat is the best UPPAbaby-compatible infant car seat for parents who prioritize seamless stroller integration, safety innovation, and modern design. Ideal for babies from 4 to 30 lbs and up to 32 inches in height, the MESA V3 makes car seat installation effortless with its SMARTSecure® system featuring auto-retracting LATCH and a red-to-green tightness indicator that ensures proper installation every time. With innovative safety features including side-impact protection with EPP foam, energy-absorbing construction, and an adjustable headrest with 25 positions, the MESA V3 provides maximum protection. Compare the UPPAbaby MESA V3 to the Cybex Cloud T Infant Car Seat: both offer premium infant protection with adjustable headrests and side-impact safety, but the MESA V3 features direct attachment to UPPAbaby Vista and Cruz strollers (no adapters needed), SMARTSecure one-second installation, and fire-retardant-free GREENGUARD Gold fabrics, while Cybex Cloud T includes SensorSafe smartphone monitoring. Choose MESA V3 if you own UPPAbaby strollers and want seamless integration; choose Cybex Cloud T if you want smart monitoring technology. The MESA V3 is FAA certified for air travel with or without the base, allowing you to travel with ease whether by car or plane.

The MESA V3 features a range of conveniences designed for modern parenting, including a deluxe, full-coverage UPF 50+ canopy with mesh ventilation and peek-a-boo window, magnetic buckle holders that keep the harness buckle out of the way during loading and unloading, and a robust removable infant insert for optimal fit and body positioning for babies weighing as little as 4 lbs. The car seat attaches directly to the UPPAbaby Vista® and Cruz® strollers without the need for adapters, and can also be used with the Minu® and Ridge® strollers with simple adapters (sold separately). The no-rethread 5-point harness adjusts easily with the headrest, offering 25 headrest positions for a perfect fit as your baby grows. An adjustable carry handle features a 4th rebound handle position for added safety in rear-impact collisions. The car seat is fire-retardant-free, made with GREENGUARD® Gold certified, hypoallergenic, and soft fabrics, ensuring a safe, non-toxic environment for your baby. The MESA V3 is FAA certified for air travel, allowing safe use with the vehicle seat belt or European routing installation on approved aircraft.

UPPAbaby MESA V3 Infant Car Seat Features:

  • SMARTSecure® installation system: Installs in seconds with auto-retracting LATCH and red-to-green tightness indicator for easy, accurate installation every time

  • No-rethread harness: 5-point harness adjusts easily with the headrest for a perfect fit as your baby grows, with 25 headrest position options

  • Full-coverage UPF 50+ canopy: Provides sun protection with mesh ventilation and peek-a-boo window for added breathability and parent visibility

  • Magnetic buckle holder: Keeps the harness buckle out of the way and organized when loading and unloading your baby

  • Side-impact protection: EPP foam absorbs energy during side-impact collisions, while the adjustable headrest ensures your baby's head is protected

  • Fire-retardant-free fabrics: Made with GREENGUARD® Gold certified materials, free from harmful chemicals, offering a safe, hypoallergenic environment for your baby

  • Direct UPPAbaby stroller compatibility: Directly attaches to UPPAbaby Vista® and Cruz® strollers without adapters; compatible with Minu® and Ridge® strollers with simple adapters (sold separately)

  • Seamless travel system: No need for separate car seat adapter frames when using with compatible UPPAbaby strollers; instant stroller integration

  • FAA certified for aircraft use: Safe for air travel with or without the base, using vehicle seat belt or European routing installation on approved aircraft

  • Removable infant insert: Ensures optimal positioning and support for babies from 4–11 lbs; easy to remove as baby grows

  • Adjustable carry handle: 4th rebound handle position provides added safety in rear-impact collisions and helps prevent forward movement

  • Weight range: Suitable for babies from 4 to 30 lbs and up to 32 inches in height

Safety Features:

  • SMARTSecure® LATCH system: Auto-retracting LATCH with red-to-green indicator ensures proper installation and eliminates guesswork

  • Side-impact EPP foam protection: Energy-absorbing construction minimizes crash forces during side collisions

  • Adjustable headrest: 25 position options grow with your baby and maintain proper head and neck support at every stage

  • Rebound bar stability: 4th handle position provides rear-impact protection and prevents forward rebound

  • GREENGUARD® Gold certification: Materials tested for low chemical emissions and hypoallergenic properties

Product Specifications

  • Weight range: 4–30 lbs
  • Height range: Up to 32 inches
  • Age range: Newborn to approximately 12 months (depends on child's growth)
  • Harness: 5-point harness, no-rethread, 25 headrest positions
  • Installation: SMARTSecure® LATCH system or vehicle seat belt
  • Base compatibility: Direct attachment to Vista V3 and Cruz V2; adapters required for Minu V3 and Ridge
  • Canopy: Full-coverage UPF 50+ with mesh ventilation
  • Materials: Fire-retardant-free, GREENGUARD® Gold certified, hypoallergenic fabrics
  • Air travel: FAA certified for aircraft use with or without base

See Entire UPPAbaby® Collection

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SKU: 69712456588

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4.6 ★★★★★
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William P Ross
Fort Morgan, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Phoenix, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Battle Creek, US
★★★★★ 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
M
Verified Purchase
mackster
Battle Creek, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018
S
Verified Purchase
Stergios Papadimitriou
Lexington, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018

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