SKU: 31681003685

Coral Mint Wearable Blanket Hoodie

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Description

Coral Mint Wearable Blanket HoodieCOASTAL PASSION WEARABLE BLANKET HOODIES: Comfortable Oversized Hooded Blankets with Beachy Designs! This wearable sleeved sherpa blanket is to be worn as a pullover hoodie to keep you warm and cozy while reading, watching tv or relaxing on the couch. The blanket will be your best friend during the winter and an extra layer you can wear around the house. The beautiful designs make it suitable for receiving unexpected guests or even going out if you

COASTAL PASSION WEARABLE BLANKET HOODIES: Comfortable Oversized Hooded Blankets with Beachy Designs!

This wearable sleeved sherpa blanket is to be worn as a pullover hoodie to keep you warm and cozy while reading, watching tv or relaxing on the couch. The blanket will be your best friend during the winter and an extra layer you can wear around the house. The beautiful designs make it suitable for receiving unexpected guests or even going out if you need to run an errand.

Theses beachy blanket hoodies with sleeves cover your shoulders and arms and allow you to move around and use your hands freely. The plush hood and big front pocket keep your head and hands warm.

  • Vibrant design
  • Extremely soft microfiber fleece exterior
  • The interior is sherpa fleece - similar to sheep's fleece but keeps you warmer in humid conditions
  • Vegan and cruelty-free
  • Front pocket to keep your hands warm
  • Handmade: professionally crafted to last many winters
  • Machine washable
  • One-Size-Fits-Most Adult and Youth Sizes

ADULT SIZE
Length: 34" (86 cm)
Chest: 30.5" (78 cm)
Sleeve: 27.5" (70 cm)

EXTRA LONG SIZE
Length: 40" (100 cm)
Chest: 30.5" (78 cm)
Sleeve: 27.5" (70 cm)

YOUTH SIZE - 8 to 13 Years Old
Length: 28" (72 cm)
Chest: 23.5" (68 cm)
Sleeve: 19.5" (50 cm)

KIDS SIZE - 3 to 7 Years Old
Length: 23.5" (60 cm)
Chest: 23.5" (60 cm)
Sleeve: 19.5" (50 cm)

*Measurements refer to garment dimensions, not body size. The model in the picture is five and a half feet tall (5'6" - 168 cm) and is wearing an adult size.

This blanket is designed like an oversized sweatshirt with a hood making it extremely comfortable to wear. The addition of a kangaroo pocket is useful to keep your phone or remote control at hand. The fleece shell is super soft and perfect for cuddling. A fluffy sherpa layer on the inside provides extra warmth and comfort.

FREE INSURED SHIPPING + TRACKING ✔

Coastal Passion blanket hoodies are printed on-demand and delivered to your door within 10-15 business days. If you are purchasing as a gift, please kindly consider ordering in advance to account for any shipping delays.

CARE
Cold machine wash on the delicate cycle. Do not bleach. Hang dry in a shaded area.

BEACHIFY YOUR INDOOR TIME WITH THESE UNIQUE BLANKET HOODIES! Coastal Passion Wear is made to order. You will be happy to own a quality item with a very unique design!

If you need more information, please feel free to Contact Us. We are always more than happy to answer any questions!

✉ [email protected]

☎ 1-800-2114-59

CHAT: m.me/coastalpassion

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]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 31681003685

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4.8 ★★★★★
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A
Verified Purchase
Amazon Customer
Waukegan, 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
Lowell, 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.
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Reviewed in the United States on May 15, 2018
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Verified Purchase
Stergios Papadimitriou
Los Angeles, 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.
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Reviewed in the United States on August 25, 2018
S
Verified Purchase
Sabrina
Grantham, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 23, 2026
A
Verified Purchase
Aayan
Houston, US
★★★★★ 5
This is the best purchase I’ve made in 2025!
Format: Paperback, Format: Paperback
I don’t even know where to start ever since I finished (in early August, 2025) the whole series of this comic. I have never been this much speechless in my life. It’s my first comic that I’ve ever read and finished it. I got into invincible through the TV show and I wanted to give a shot on comics because people said it’s even better than the show, and I was blown away just by the tv show until I started reading this. It didn’t matter how tired I would be and/or how busy I would be, but I’d still make time to grab and read at least some pages very excited. There are so many parts in this comics where it reflected on my personal life and somewhat opened my eyes of what I had and need to do in my life. It was really fun, exciting, loving, caring, sad and emotional story. This comic has a definitive beginning and a final, conclusive ending. I loved it overall despite where there were some boring parts, but it all made sense later in the main story. Very well developed characters, stories and art. Now whenever I pass by my bookshelf and I see these books puts big fat huge smile on my face. I’m glad I have it in my collection. I got to experience in this comic what I couldn’t in real life. Every other night in random or toughest moment I would think about what would mark do in this situation. Thank you for this masterpiece ❤️
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Reviewed in the United States on September 18, 2025

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