SKU: 16699799419
nuna double stroller for twins

nuna double stroller for twins Nuna DEMI Next Twin Bundle in Caviar

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Description

nuna double stroller for twins Nuna DEMI Next Twin Bundle in CaviarThe Ultimate Twin Bundle for Growing Families Designed for Double the Joy Life with twins is an adventure, and the DEMI next Twin Bundle makes every outing smoother, easier, and more enjoyable. Thoughtfully designed for modern parents who need a pushchair that grows with their family, this bundle includes everything you need for seamless transitions from pushchair to carry cot. With the DEMI next stroller, two carry cots, and a sibling seat, youll

The Ultimate Twin Bundle for Growing Families

Designed for Double the Joy

Life with twins is an adventure, and the DEMI next Twin Bundle makes every outing smoother, easier, and more enjoyable. Thoughtfully designed for modern parents who need a pushchair that grows with their family, this bundle includes everything you need for seamless transitions from pushchair to carry cot. With the DEMI next stroller, two carry cots, and a sibling seat, you’ll have the flexibility to handle daily errands, exciting outings, and everything in between with confidence and ease.

A Stroller That Adapts to Your Family’s Needs

The DEMI next stroller is more than just a pushchair—it’s a complete travel system designed to grow with your family. With over 25 configurations, it easily transforms from a single to a twin or double pushchair, making it perfect for parents of twins or siblings close in age. Whether you need to attach a carry cot, sibling seat, or rider board, this adaptable pushchair ensures you always have the setup that suits your needs.

Built with style and practicality in mind, the one-hand recline system lets you adjust the seat into four different positions, keeping your little one comfortable at all times. With both forward and rear-facing options, your baby can take in the world or snuggle up for a cosy nap. The Custom Dual Suspension™ system delivers a smooth ride, no matter the terrain, and foam-filled tyres ensure durability without the worry of punctures.

Lie-Flat Comfort with the DEMI next Carry Cot

Newborns need a safe and snug space for their earliest adventures, and the DEMI next carry cot delivers just that. Providing lie-flat support, this carry cot offers a cosy and protective environment for your little one. Attaching effortlessly to the DEMI next stroller, it transforms your pushchair into a stylish pram that’s perfect for newborn outings.

Practicality meets comfort with its collapsible design, making storage and travel a breeze. The UPF 50+ fabric shields your baby from the sun’s harmful rays, while the Dream drape™ ensures peaceful naps on the go. Plus, ventilation panels allow for optimal airflow, keeping your baby cool and comfortable throughout the day.

Strolling Made Easy with the DEMI next Sibling Seat

Whether you’re welcoming twins or need extra space for an older sibling, the DEMI next sibling seat is a game-changer. It seamlessly attaches to the pushchair, offering a comfortable and secure space for your second child. With multiple recline options, an upright backrest, and an all-season seat, it’s designed for year-round comfort. The water-repellent UPF 50+ canopy protects from sun and rain, ensuring every ride is safe and enjoyable.

Why Choose the DEMI next Twin Bundle?

The DEMI next Twin Bundle isn’t just about convenience—it’s about empowering parents with a flexible, stylish, and practical solution that adapts to your family’s changing needs. Whether you're navigating city streets or countryside paths, this all-in-one bundle gives you the freedom to explore with ease.

Key Features

DEMI next Stroller:

  • 25+ Modes – Easily converts from a single pushchair to a twin or double, with options for a rider board or sibling seat.
  • One-Hand Recline – Adjust the seat into four positions for maximum comfort.
  • Custom Dual Suspension™ – Provides a smooth, bump-free ride on any terrain.
  • Rotating & Removable Armbar – Ensures easy access and accommodates children of all sizes.
  • Water-Repellent UPF 50+ Canopy – Shields your little one from sun and rain.
  • MagneTech Secure Snap™ Buckles – Automatically lock into place for a secure fit.

DEMI next Carry Cot:

  • Lie-Flat Comfort – Provides a safe and supportive space for newborns.
  • Easy Storage – Collapsible design for space-saving storage and effortless travel.
  • UPF 50+ Fabric – Blocks over 98% of harmful UV rays.
  • Dream Drape™ – Pulls down quietly for peaceful, undisturbed naps.
  • Ventilation Panels – Maintain optimal airflow for all-day comfort.

DEMI next Sibling Seat:

  • Versatile Seating – Easily attaches to the DEMI next stroller to expand your travel system.
  • All-Season Comfort – Breathable fabrics keep your child comfortable in any weather.
  • Four Recline Positions – Adjustable seat angles for customised comfort.
  • Upright Backrest – Provides proper posture support for growing children.
  • Water-Repellent UPF 50+ Canopy – Protects against sun, wind, and unexpected showers.
  • Rain Cover Included – Keeps your child dry during wet weather adventures.

What’s in the Box?

  • DEMI next Pushchair
  • DEMI next Carry Cot x2
  • DEMI next Sibling Seat
  • Carry Cot Raincover x2
  • Pushchair Raincover
  • Sibling Seat Raincover
  • Fenders for Sibling Seat
  • Car Seat Latch Guides
  • Two Sets of Car Seat Adaptors
  • Set of Seat and Carry Cot Post Adaptors

Specifications

  • DEMI next Pushchair: L 83cm x W 63cm x H 123cm, 14.7kg (without armbar, insert)
  • DEMI next Carry Cot: L 88cm x W 42cm x H 58cm, 3.9kg
  • DEMI next Sibling Seat: L 92cm x W 42cm x H 53cm, 4.6kg
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]
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SKU: 16699799419

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4.3 ★★★★★
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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
Draper, 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
Omaha, 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
Omaha, 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
New York, 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

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