SKU: 63879122006
chicco bravo vs britax b agile

chicco bravo vs britax b agile Chicco Bravo Primo Trio Travel System

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Description

chicco bravo vs britax b agile Chicco Bravo Primo Trio Travel SystemA Premium Pair: The Power Couple of Infant Travel Streamline travel in style with the fully loaded Bravo Primo Quick Fold Stroller and the easiest to install KeyFit 35 Zip Extended Use Infant Car Seat. A premium pair, the KeyFit 35 Zip clicks into the stroller via the child tray for adapter free convenience and effortless transitions from car to stroller. Three modes a lightweight frame carrier, a versatile travel system and a full size toddler

A Premium Pair: The Power Couple of Infant Travel

Streamline travel in style with the fully loaded Bravo® Primo Quick-Fold Stroller and the easiest-to-install KeyFit® 35 Zip Extended-Use Infant Car Seat. A premium pair, the KeyFit® 35 Zip clicks into the stroller via the child tray for adapter-free convenience and effortless transitions from car to stroller.

Three modes – a lightweight frame carrier, a versatile travel system and a full-size toddler stroller – cater to your travel needs as your little one grows from newborn to toddler. From “less is more” to fully loaded, transition through the modes for streamlined travel at every stage.

For child comfort, the Bravo® Primo Stroller features a one-hand, multi-position reclining seat that’s surrounded by zip-open mesh for ventilation. The large, UPF-rated canopy with pull-out visor and flip-open mesh panel provides protection and comfort in all 3 modes.

The Bravo® Primo Stroller showcases large wheels with foam-filled, treaded rubber tires and all-wheel suspension to navigate uneven terrain. The rear-linked foot brake secures the stroller with a simple tap and the multi-position, premium leatherette push handle adjusts in height for parent comfort.

For additional parent convenience, the Bravo® Primo folds compactly with the child tray and stands independently without the push handle touching the ground. The large storage basket features 2 organizer pockets, mesh sides for visibility and easy front & rear access.

Growing Together with KeyFit® 35 Zip

The KeyFit® 35 Zip Infant Car Seat introduces upgraded features to offer more headrest height, legroom and stability for extended rear-facing use. The Easy-Extend Headrest System raises with the harness to grow with children up to 32” tall, allowing you to keep your little one in the same rear-facing car seat for longer. The integrated anti-rebound bar provides increased stability for every ride while offering more leg room for your growing baby. Engineered with #1-rated features like premium LATCH connectors and a SuperCinch® force-multiplying tightener, it is the easiest infant car seat to install correctly.

The KeyFit® 35 Zip is equipped with a large, UPF-rated canopy that features a zip-extend mesh panel for ventilation and a zip-open, full-coverage privacy shield. The quick-remove seat pad is machine washable for easy cleanup.

Features:

  • Bravo® Primo Stroller Upgrades:

  • Folding child tray for a more compact stroller fold

  • Contoured, reversible seat cushion for added comfort & support

  • Large, UPF-rated canopy with pull-out visor and flip-open mesh panel

  • Height-adjustable, premium leatherette push handle

  • Multi-position reclining seat surrounded by a zip-open mesh panel

  • Large wheels with foam-filled, treaded rubber tires

  • All Bravo® Strollers Feature:

  • Secure, click-in attachment for all Chicco infant car seats via the included child tray – no adapter needed

  • Removable stroller seat & canopy transform stroller to a lightweight car seat carrier

  • One-hand smart fold stands independently on stroller wheels

  • Large wheels with treaded tires and all-wheel suspension

  • Child tray with two cup holders & storage

  • Parent tray with two cup holders & storage

  • Large, easy-access storage basket with organizer pockets

  • One-touch, linked rear brakes for parking

  • KeyFit® 35 Zip Features:

  • Easiest-to-install infant car seat offers more headrest height and legroom for extended rear-facing use

  • Lightweight, 10 lb. carrier clicks securely into compatible Chicco strollers

  • Removable ergonomic newborn positioner

  • Easy-Extend Headrest System with no-rethread harness

  • UPF 50+ canopy with zip-open mesh panel and zip-open, full coverage privacy shield

  • Anti-rebound bar provides added stability and more legroom

  • SuperCinch® force-multiplying LATCH tightener

  • ReclineSure™ leveling foot and RideRight™ bubble levels

  • LockSure® steel-reinforced seatbelt locking system

  • Integrated on-the-go European belt routing for carrier-only installation

Product Usage:

The Bravo Primo Stroller is designed for children up to 50 lbs. The KeyFit 35 Zip Infant Car Seat is designed for children between 4-35 lbs. and up to 32" tall.

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SKU: 63879122006

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4.7 ★★★★★
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Verified Purchase
William P Ross
San Leandro, 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
Bozeman, 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.
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Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Lexington, 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
Natrona Heights, 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.
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Reviewed in the United States on May 15, 2018
S
Verified Purchase
Stergios Papadimitriou
Cuba, 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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