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Description
maxi cosi swing manual Maxi Cosi Cassia Swing | Lightweight & LuxuriousA stylish electric swing designed to give parents a helping hand with their newborn when they need both of theirs free. Usable from birth up to 6 months (approx. 9kg), Cassia detects when your little one gets fussy and will instinctively start swaying to soothe them. Cocooned in the soft, padded inlay, your baby will be comforted by the 12 melodies and nature sounds that Cassia plays. Wherever you are in the room, the 360 rotation ensures you always
Comfort features
Everything about the Cassia is designed to comfort and soothe your baby during its first 6 months. The soft newborn inlay cocoons and comforts them while two different recline positions offer a sumptuous lay back option as well as a comfy sit up seat. And a cushioned 3-point safety harness keeps them nestled in place. Cassia has five swing speeds and 12 soothing melodies and nature sounds, to gently comfort and calm them, while you’re busy working, cooking, or cleaning up close-by.
Ease of use
Cassia’s smart touch screen control panel makes life with a little baby, a lot easier in one quick click! Being the lightest swing of its kind, Cassia is super-easy to take from room to room and its 360° seat rotation ensures that wherever you are in the room, you can always maintain eye contact with your baby. If there’s no plug nearby, no worries - Cassia can also be battery operated. Easy to clean, Cassia’s high quality, premium fabrics are effortless to remove and are machine washable, so the seat looks as good as new, every time.
Age-range
Designed to be used from birth up to 6 months (9 kg), Cassia’s soft cosy newborn inlay will comfort your baby as they learn lots of new developmental skills. With two different recline positions, your baby can transition from lying back to a more upright seat. In the first 3 months your baby will be getting to know you and bonding, so hearing your voice and having eye-contact thanks to the 360° seat rotation is key. As they grow, they’ll enjoy listening to the soothing melodies and nature sounds and show their excitement by waving their arms and legs. By 6 months, their eyes can focus on and follow the toys moving up, down and all around.
Design
Your baby will be swinging and swaying in style with the Cassia electric swing. Boasting premium fabrics, wood effect detailing and luxurious finishes, it will sit stylishly in every room and any modern home interior. Its intuitive smart-touch control panel looks as good as it feels. With its clean curved lines, and a range of contemporary colours, Cassia is designed to care for the future – by both comforting your newborn baby and by only using 100% recycled fabrics. Super-premium, sturdy and stylish, Cassia is a cosy, extra-embrace in which to place your baby, when you need your hands free.
Product Features :
Ease of use
- Automatic Motion Detection
- Only 4kg: the lightest swing to carry easily from room to room
- Easy to use touch screen control panel
- Easy in & out harness
- Seat pad zips off/on easily and is machine washable
- Compact, space-saving frame
Comfort
- 360° seat rotation to maintain eye contact
- Soft newborn inlay
- Multiple recline positions
- Two toys included
- 2 swing directions (front to back, side to side)
- 5 swing speeds
- 12 soothing melodies
Safety
- 3 point safety harness
General
- Premium fabrics & design for styling interiors
- Can be operated either AC Power Adaptoro or batteries (batteries not included)
- Eco Care 100% recycled fabrics
Product Details :
- Product weight: 4.5
- Age of child: 0-6 Months
- Weight of child: 0-9 Kg
- Removable covers: No
- Resting / recline positions: 2
- Harness positions: 1
Discover the perfect blend of comfort and convenience with the MAXI COSI Cassia Swing shop now at Kido Bébé and enjoy peaceful moments with your baby, hands-free.
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4.9 ★★★★★
Based on 11 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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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