SKU: 95908345692
allintitle:best car seat stroller

allintitle:best car seat stroller Maxi Cosi Tayla Max 5 in 1 Travel System

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Description

allintitle:best car seat stroller Maxi Cosi Tayla Max 5 in 1 Travel SystemThis Maxi Cosi bundle comes with the Peri 180 Rotating Infant Car Seat and Tayla Max Modular Stroller, both in the Onyx Wonder fashion, usually sold separately. Pairing the pieces together creates a travel system that can be used from birth. Maxi Cosi Tayla Max Modular Stroller This stroller offers multiple modes of use to carry your newborn through toddlerhood, upright or fully reclined and facing you or the world ahead. The unique QuikCarriage

This Maxi-Cosi bundle comes with the Peri 180 Rotating Infant Car Seat and Tayla Max Modular Stroller, both in the Onyx Wonder fashion, usually sold separately. Pairing the pieces together creates a travel system that can be used from birth.

Maxi-Cosi Tayla Max Modular Stroller

This stroller offers multiple modes of use to carry your newborn through toddlerhood, upright or fully reclined and facing you or the world ahead. The unique QuikCarriage feature allows the upright stroller seat to convert to a lie-flat carriage so you can easily change positions.

In stroller mode, choose from four reclining positions to give your little one a relaxing ride. The 360° MaxShade canopy provides UPF 50 protection and unzips to extend the mesh privacy panel, which covers the entire seat. Stay connected and provide added ventilation by unzipping the mesh peek-a-boo window. The seat cushion is both machine washable and reversible: choose breathable mesh fabric for warmer days and cozy knit for cooler ones.

Tuck all you need for your excursions in the extra-large storage basket that holds up to 25 lbs. It also has a lightweight frame with SmoothRide tire technology for nimble maneuvering and four handle positions for a more comfortable push.

Maxi-Cosi Peri 180 Rotating Infant Car Seat & Base

Make their world go ‘round with Peri™ 180°, our new rotating infant car seat featuring FlexiSpin rotation technology. Peri makes getting your little one in and out of their car seat easier than ever and reduces back strain. It is also the lightest rotating infant car seat available at under 8 lbs.*, so carrying it is a breeze. For rear-facing babies from 4–30 lbs. and up to 32".

Peri 180° also features TensionFix™, which solves the most common installation problem 7 out of 10 parents unknowingly have––loose vehicle belt tension. TensionFix is our patent-pending red-to-green indicator that shows you when your belt has tension. We designed Peri with thoughtful features to make the journey with your little one easier for you both. Parents will love that they don’t need to rethread the QuikFit harness when baby grows, as the 6-position headrest and harness can be easily adjusted at the same time with one hand. 5 recline positions provide a better fit during installation. Our ClipQuik™ Magnetic Chest Clip is designed for fast, struggle-free buckling. And our new canopy design zips out to extend, providing full-coverage sun protection and privacy for your little one.

For a car seat this special, we knew we needed a fresh, new name. And what says “new” better than the color green. Short for peridot, the beautiful green gemstone, symbolizing newness and calm, Peri’s here to bring the calm to your car rides.

*without canopy and inserts, which weigh approx. 1 lb.

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SKU: 95908345692

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4.3 ★★★★★
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William P Ross
Charlottesville, 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.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Massapequa, 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
Houston, 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
Waukegan, 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
Draper, 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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