SKU: 84980188507
maxi cosi travel bassinet

maxi cosi travel bassinet Maxi-Cosi Iora Bedside Bassinet

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Description

maxi cosi travel bassinet Maxi-Cosi Iora Bedside BassinetGetting your little one to fall asleep can be tricky. But with the Maxi Cosi Lora Baby Bedside Bassinet with a sleek, stylish design, your little one can rest comfortably at home or wherever you travel all within an arms reach. Rest time starts with the supportive mattress that offers just the right amount of comfort for nighttime sleep or daytime naps. Then theres the breathable mesh siding that lets the air flow through and gives you a quick glimpse

Getting your little one to fall asleep can be tricky. But with the Maxi-Cosi Lora Baby Bedside Bassinet with a sleek, stylish design, your little one can rest comfortably at home or wherever you travel – all within an arm’s reach. Rest time starts with the supportive mattress that offers just the right amount of comfort for nighttime sleep or daytime naps. Then there’s the breathable mesh siding that lets the air flow through and gives you a quick glimpse of your little one. 

Versatility’s important, too. That’s all thanks to the Lora’s four different height positions that to give you a customized fit. Not only does the Iora bassinet adjust up and down, but side to side as well. For those moments in the middle of the night when your baby wakes up crying, you can easily glide the bedside bassinet closer to the bed to give comfort and care.

When you’re visiting a friend’s house or staying at grandparents, it’s nice to be able to quickly change a diaper and easily access all those baby essentials, which is why the Lora makes for a great travel bassinet. That’s where the extra-large storage basket located underneath comes in handy. Whether you’re traveling or moving your little one into the nursery, wherever you want to go, the Iora Bedside Bassinet easily folds up and stores in its own travel bag. At the end of the day it’s all about comfort. 

  • Easy slide function to get the right position
  • Comfortable mattress so baby can sleep soundly
  • Breathable mesh sides so you can easily keep an eye on baby
  • Large storage basket to hold everything needed to care for baby
  • 4 height positions to adjust to the right height
  • Folds and stores in a travel bag to easily take wherever you want to go
  • Overall: 26" wide x 38.5" long x 36" high
  • Bassinet Folded Flat: 22" wide x 35.5" long x 7" high
  • Travel Bag: 22" wide x 42" long x 7.25" high
  • Interior of Bassinet: 22" wide x 35.75" long x 13.5" high
  • Storage Basket: 22" wide x 33.5" long x 4.25" high
  • Mattress Pad: 19.75" wide x 32.25" long x 1" thick
  • Mattress Platform: 20" wide x 32" long x 1" thick
  • Adjustable Heights: 32", 33", 34", and 35" high
  • Legs: 38" long x 25" high
  • Distance to Floor from Basket: 8"
  • Distance from Basket to Bottom of Bassinet: 13.5" high
  • Weight: 24 lbs

Suitable Birth + 6M

Maxi-Cosi is the leading brand specialist in child car seats and strollers, excelling in safety, comfort and ease of use through continuous innovation in breakthrough technology, design and use of materials.


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SKU: 84980188507

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4.2 ★★★★★
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Zygerian99
Chelsea, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
Houston, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Bozeman, 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
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Verified Purchase
Adam
Lexington, 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
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Verified Purchase
Amazon Customer
Cuba, 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

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