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Description
car seats britax usa Britax Poplar S Convertible Car SeatThe Britax Poplar Convertible Car Seat can safely accommodate children up to 50 pounds while rear facing and easily transitions to a forward facing car seat as your child grows. Slim outside and spacious inside, the toddler car seat features 17" SpaceSaver technology designed to fit 3 across* without compromising on trusted Britax safety and premium comfort. *Britax cannot guarantee 3 across installation fitment in all vehicles. Specifications
The Britax Poplar Convertible Car Seat can safely accommodate children up to 50 pounds while rear-facing and easily transitions to a forward-facing car seat as your child grows. Slim outside and spacious inside, the toddler car seat features 17" SpaceSaver technology designed to fit 3-across* without compromising on trusted Britax safety and premium comfort.
*Britax cannot guarantee 3-across installation fitment in all vehicles.
Specifications
- Convertible design car seat works as a rear-facing car seat with the infant insert, and converts to a forward-facing car seat.
- 2 additional premium inserts and padding that help create refined comfort and a tailored fit.
- ReboundReduce™ Stability Bar is a carbon steel bar that easily attaches to the car seat when installed rear-facing. It minimizes the movement in the event of a crash; it must be removed when installed forward-facing
- With ClickTight, you know it’s right in just 3 easy steps: open, buckle, and close.
- Infant inserts are specifically designed to fit newborns 22 lbs. and under.
- 5-point safety harness helps evenly distribute crash energy to keep your child safe.
- Fully open seat belt paths are clearly labeled and easy to access, while the automatic tensioner takes care of the tightening.
- Patented v-shape top tether has two connection points to help slow and reduce forward movement in a crash; easily stores away when not in use.
- The fabric is naturally flame retardant with no added FR chemicals
- Safecell Technology acts as a crumple zone, helping to keep crash energy away from your child.
- The 14-position harness and headrest move with one hand to grow with your child.
- Washer and Dryer Friendly, no more hand washing or waiting for the cover to air-dry; just quick and easy cleanup, so you can keep moving.
- The 2 cup holders slide in and out and are dishwasher-safe for easy cleaning between rides.
- Easy-read level indicators with 6-position and quick-adjust recline help you find the most comfortable fit for your child and the best fit for your vehicle.
- 1-Year Limited Warranty.
Dimensions & Weight
- 17" W x 23.5" H x 20.5" D
- Child Weight Rear-Facing: 5 - 50 lbs.
- Child Weight Forward-Facing: 22-65 lbs.
- Child Height: up to 49"
- Seat Area Depth/Width: 11" / 12"
Britax strongly recommends that children ride rear-facing to the highest weight or height specified.
What's Included
- Convertible Car Seat
- 2 Removable Premium Inserts
- 2 Dishwasher Safe Cup Holders.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.7 ★★★★★
Based on 29 reviews
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Product Reviews
★★★★★ 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
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected.
The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading.
If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026