SKU: 88468051942
nuna tavo stroller 2020

nuna tavo stroller 2020 Nuna Tavo Stroller One Click Wonder

$23.26 $25.84
Save 10%
No.2 Bestseller on realestatemontenegro.me >

Pay in installments of $6.46 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 13 - Aug 18

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

nuna tavo stroller 2020 Nuna Tavo Stroller One Click WonderAt A Glance Features The Nuna Tavo Stroller is a sleek and modern choice for smart families. Quick glance features: Bravo, Tavo! Super sleek. Brilliantly simple. Incredibly intuitive. Nuna knows how to make baby gear and the Tavo is no exception. Its the little details that make a big impact. Special features like the ability to enclose your child completely with integrated mesh ventilation panels, quick fold one handed touch and recline, one click

At-A-Glance Features

The Nuna Tavo Stroller is a sleek and modern choice for smart families. Quick glance features:

                    

                

Bravo, Tavo!

Super sleek. Brilliantly simple. Incredibly intuitive. Nuna knows how to make baby gear and the Tavo is no exception. It’s the little details that make a big impact. Special features like the ability to enclose your child completely with integrated mesh ventilation panels, quick-fold one-handed touch and recline, one click rear wheel braking system and adapter-free connection with the Nuna PIPA car seat.

 

Nuna Tavo Stroller Features

  • Integrates easily with the Nuna PIPA car seat
  • Completely flat recline with one-hand adjustment
  • Spacious seat with room to grow
  • Large mesh canopy with special adjustment features
  • Quick fold into compact design with trolley functionality
  • Adjustable calf support and foot rest
  • 3 or 5 point harness with quick release
  • Smooth ride suspension system
  • One-touch easy braking system
  • Removable infant insert and arm rest
  • Large under storage basket
  • Color options available

 

Integrates easily with the Nuna PIPA car seat

Turn your Nuna PIPA and  the Tavo into an innovative travel system - no need for an adapter! Simply slide the infant car seat into place and listen for the secure click and you’re on your way!

 

Completely flat recline with one-hand adjustment

Notice your little one is dozing during your walk? Completely recline the seat without breaking a stride with the one-handed adjustment. Choose from four comfortable reclines to suit your child’s comfort level.

 

Spacious seat with room to grow

Growth spurt? No problem! This seat is spacious from the beginning and safely holds your child weighing up to 50 lbs.

 

Large mesh canopy with special adjustment features

So much more than a way to keep the sun out of your child’s eyes. You can adjust the two oversized mesh canopies to your exact needs without worry of any ventilation issues. Also included is a removable UPF 50+ canopy with a retractable flip-out eyeshade.  

 

Quick fold into compact design with trolley functionality

No worries if you are juggling a wiggly child while trying to close the Tavo and store it away, all you need is one hand to close the stroller into a nice, compact size. The convenient trolley system means you can pull the stroller while folded.

 

Adjustable calf support and foot rest

If your child prefers to lay without dangling legs, you’ll love the adjustable calf support and foot rest feature on the Tavo!

 

3 or 5 point harness with quick release

Choose between a 3 or 5 point harness system. A quick release feature ensures that your child is completely safe snuggled up in the Tavo.

 

Smooth ride suspension system

A progressive suspension system is what keeps your child’s ride in the Tavo nice and smooth, without being jostled around, even on an outdoor walk.

 

One-touch easy braking system

No need to worry about two brakes to activate, a middle braking system in the back of the stroller allows you to lock your stroller in place with just one click.

 

Removable infant insert and arm rest

A removable infant insert and arm rest allow you to customize your child’s comfort.

 

Large under storage basket

Store everything you and your baby needs on your day out right underneath the stroller, keeping your hands and arms free of extra baggage.

 

Nuna Tavo Stroll Dimensions and Specifications 

Type Of Stroller: Premium single
Maximum Carrying Load: 50 lbs
Newborn Suitable: Yes
Infant Seat Adapter: Yes
Frame Material: Aluminum
Stroller Weight: 24.3 lbs 
Open Length: 35.6"
Open Width: 22"
Open Height (to top of handle): 42.5" with handle fully extended
Reclining: 4-Position locking recline 
Folded Size:
18.5" x 22" x 36.8" in
Brakes: Foot Pedal
Warranty: 2 Year (See our warranty page for more info.)
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 88468051942

Discover Niche Categories That Outsell nuna tavo stroller 2020

Top-Converting Item to Boost Your Average Order

4.9 ★★★★★
Based on 21 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
W
Verified Purchase
William P Ross
Alexandria, 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
Boise, 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
Lowell, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Los Angeles, 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
Battle Creek, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 25, 2018

recommand products

Lipstick Pink Aglaonema – Lichtenfelt's
28.61
Pink Aglaonema Beauty for Sale
26.75
Shop Tillandsia ionantha 'Druid' Air Plant - Care and Info
26.82
Aglaonema Lipstick Pink Pot 9cm French Production – plantandstories
24.28
Pink Aglaonema 'Lady Valentine' – The Plant Firm
20.99