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Description
uppababy mesa v2 base UPPAbaby ARIA V2 Infant Car SeatThe Light Fit. The Aria V2 redefines lightweight infant car seat standards weighing in at just 6 lbs. Engineered for parents on the go, it combines a sturdy yet light build with extra legroom for added comfort. With innovative features like SmartSecure technology, an extra large canopy, and an included All Weather FootCover, it offers a safe, spacious, and convenient ride for both baby and parents. Lightweight Portability Aria sets a new standard as
The Light Fit.™
The Aria V2 redefines lightweight infant car seat standards weighing in at just 6 lbs. Engineered for parents on the go, it combines a sturdy yet light build with extra legroom for added comfort. With innovative features like SmartSecure® technology, an extra-large canopy, and an included All-Weather FootCover, it offers a safe, spacious, and convenient ride for both baby and parents.
Lightweight Portability
Aria sets a new standard as the market’s lightest car seat at just 6 lbs. Its ergonomic aluminum carry handle is designed for both lightweight portability and stability.
No-Rethread Harness for Effortless Fit
Effortlessly adjust the 5-point no-rethread harness height as your baby grows without removing or rethreading straps. Easily keep your little one safe and comfy at every stage!
Covers From the Elements
The All-Weather FootCover keeps baby covered year-round, while the XL UPF 50+ canopy with back panel ventilation & pop-out sunshade offer extra airflow and sun protection
Seamless Compatibility
For the ultimate in portability and safety, the Aria V2 directly attaches to both the Vista® and Cruz® strollers. It’s also compatible with the Minu® travel strollers and Ridge® jogging stroller with the addition of simple adapters. This stylish and hassle-free solution lets you go from drive to stroll with a quick press of the convenient release button!
ARIA V2
- Lightweight design at just 6 lbs, the lightest on the market
- Included All-Weather FootCover ensures baby is secure, cozy, and covered in all seasons
- Two-Piece Robust Infant Insert ensures proper fit and body positioning for preemies from approximately 4 lbs. with ability to fit babies up to 4 months
- Adjustable headrest with 25 preset positions for a more precise fit
- Ergonomic aluminum carry-handle for comfort and portability
- Extra-large, UPF 50+ canopy with pop-out sunshade and ventilation for airflow
- Back panel ventilation for additional airflow keeping baby cool and comfortable
- Advanced Side Impact Protection with energy-absorbing EPP foam
- Simple one-crotch buckle position simplifies the buckling process
- Effortless no-rethread 5-point harness adjusts as your baby grows
- European Belt Routing for a more secure installation when installing without the base
- Removable, machine-washable seat and canopy fabrics for easy cleaning
- All fashions are Fire Retardant Free through our DualTech™ fabrics
- Effortless compatibility and portability with direct attachment for Vista® and Cruz® strollers
- Convenient adapters available for the Minu® and Ridge® strollers
- Designed and tested to comply with FMVSS 213a and 213b standards
- FAA certified for aircraft use
- Product Lifetime Warranty
ARIA Base
- Included base with adjustable load leg for stability and energy absorption
- Enhanced safety with Anti-Rebound+ Panel for increased stability
- Narrow 17” wide footprint to maximize space in your backseat
- SMARTSecure® System with red-to-green visual indicator installs in seconds
- Easy-to-release base for quick attachment and detachment
- Adjustable base foot with four positions to accommodate different seat angles
- Auto-Retracting LATCH for effortless installation
- Built-in lock-off for secure seatbelt installation
- Dual bubble level indicators ensure correct base alignment
- Streamlined, low-profile base with finished bottom
Specifications
- Approximately 0–1 years
- Suitable from birth (4 lbs - 30 lbs and up to 30” in height) whichever comes first (US only)
- Carrier Weight: 6 lbs (without canopy and insert)
- Base Weight: 12.8 lbs
- Carrier Dimensions 25.8 L x 17 W x 23.7 H
- Base Dimensions 23.9” L x 14” W x 15.2” H
Includes
Infant car seat, car seat base, two piece robust infant insert and all weather foot cover
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4.7 ★★★★★
Based on 593 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