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Description
britax infant comfort pillow Britax Cypress Infant Car Seat - with Alpine BaseCherish the journey together with the Cypress infant car seat and Alpine base. This rear facing car seat offers convenience, premium style, and trusted Britax safety, giving you the assurance you need on your first ride home and every drive after. Our exclusive ClickTight technology provides a simple installation in 3 easy steps: open, thread and buckle, click it closed. This newborn car seat offers the perfect combination of style and convenience.
Cherish the journey together with the Cypress™ infant car seat and Alpine™ base. This rear-facing car seat offers convenience, premium style, and trusted Britax safety, giving you the assurance you need on your first ride home and every drive after. Our exclusive ClickTight® technology provides a simple installation in 3 easy steps: open, thread and buckle, click it closed. This newborn car seat offers the perfect combination of style and convenience. The double-knit mélange accents have a soft sheen and a smooth finish for an elegant look and feel. Made with SafeWash® performance fabrics, the cover is washer and dryer-friendly and naturally flame-retardant with no added FR chemicals. Cypress includes three padded inserts to help create a cozier and more customized fit. Two of the inserts layer behind baby’s head and neck for support. This infant car seat also features an aluminum carry handle that easily adjusts with one hand to keep your other hand free. The Alpine base is equipped with a ReboundReduce™ stability bar to help minimize movement so you can travel with confidence.
Features:
- Fit: Designed for rear-facing use only for 4 to 30 pounds and up to 32 inches
- Install with Confidence, Every Time: Britax is the only brand with ClickTight® technology, so you know it can be installed securely on the first ride and beyond
- Premium Mélange Fabrics: Double-knit mélange accents have a soft sheen and a smooth finish
- Three Inserts for a Custom Fit: Includes three padded inserts to help create a cozier and more customized fit; two inserts layer behind baby's head and neck while the third sits underneath the child for support
- Extra-Large Window: Check on your little one through the extra-large mesh window with a quiet magnetic closure
- Ultra-Portable: Lightweight and easy to carry, this newborn car seat features an aluminum carry handle that adjusts easily with one hand; carry handle provides additional stability when used in the upright position
- Washer and Dryer-Friendly: The SafeWash® car seat cover makes cleanup easy so you can keep moving; no more hand-washing or waiting for fabrics to air-dry!
- No Added FR Chemicals: The car seat cover is made with naturally flame-retardant fabrics with no added FR chemicals
- Plush Comfort: Extra cushioning on the head pillow, harness pads, and infant inserts, keeps your child comfy and cozy
- ReboundReduce™ Stability Bar: Helps minimize movement in the event of a crash
- Customize to Baby’s Size: The RightSize™ system provides adjustment points at the hips, shoulders, and between the legs to help you find the perfect fit
- SpaceSaver™ Design: Slim outside, spacious inside! Frees up backseat space while giving your child plenty of room for the ride
- Easy In, Easy Out: Built-in harness holders and flip-forward belly pad clear the way for breezy boarding and unboarding
- Side Impact Tested: Helps protect your child’s head, neck and torso for peace of mind
- SafeCell® Technology: Acts as a crumple zone, helping to keep crash energy away from your child
- Easy Find & Recline: Level indicators make it easy to find the correct installation angle for your vehicle
- ClickTight® Indicator: Helps provide a visual guide while installing the base *Indicator window may vary by model. Refer to user guide for specific instructions
- Base-Free Stability: Extra belt path on the back of the seat provides security when installing without the base
- Sun Protection: UPF 50+ canopy and flip-out visor offer more sun protection while in the car or out for a stroll
- Compatible with Britax Brook™, Brook+ and Gove™ strollers along with select competitive strollers
Specifications:
- Product Weight (Car Seat Only): 9.7 lbs
- Product Dimensions: 28.1"L x 16.9"W x 24.11"H
- Seat Back Compartment Height: 21"
- Harness Slot Heights: 5.5" / 7.5" / 9.5" / 11.5"
- Buckle Strap Depths: 2.25" / 5.5"
- Child Weight: 4-30 lbs
- Rear-facing Harnessed Height: Less than 32"
- Product Weight (Base Only): 10.2 lbs
- Seat Area Depth/Width: 12" / 9.5"
- Shoulder Width: 10"
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4.4 ★★★★★
Based on 113 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
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