SKU: 46866978349
one person waterproof tent

one person waterproof tent Inner Net Tent: 2-Person Mesh Tent & Outdoor Mosquito Net

$22.37 $24.85
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Description

one person waterproof tent Inner Net Tent: 2-Person Mesh Tent & Outdoor Mosquito Net360 degree protection. It is exceptionally light and provides maximum airflow and great visibility while keeping flies, mosquitoes, and other pests out for ultimate relaxation. Designed with an asymmetric shape which means the apex is closer to the head end for more usable space. Enjoy the great outdoors without the annoyance of mosquitoes and other pesky bugs with the Onewind Shelter Mosquito Net. Designed specifically for cowboy camping, this

360-degree protection. It is exceptionally light and provides maximum airflow and great visibility while keeping flies, mosquitoes, and other pests out for ultimate relaxation. Designed with an asymmetric shape which means the apex is closer to the head end for more usable space.

Enjoy the great outdoors without the annoyance of mosquitoes and other pesky bugs with the Onewind Shelter Mosquito Net. Designed specifically for cowboy camping, this versatile bug net tent provides maximum protection and comfort during your camping adventures.

Versatile and Spacious of the Tent Mosquito Net

Whether you're camping under the stars or using a single-wall tent, the Onewind Shelter Mosquito Net is the perfect companion. Its asymmetric shape allows for easy hanging from a rafter in a lean-to or underneath various tents, survival shelters, tarps, or ponchos. With a peak height of 120cm/47", you'll have plenty of headroom to sit inside comfortably or change clothes.

Convenient Double-Sided Zippered Entrance

The camping mosquito net features a double-sided zippered entrance measuring 120cm*80cm (47"*31.5"). This spacious entrance allows for easy access in and out of the net, making it convenient to enter or exit your sleeping refuge without hassle.

360-Degree Protection Bug out shelter

Constructed from premium No-See Um polyester netting, this shelter bug net offers 360-degree protection against flies, mosquitoes, and other pests. The tightly woven polyester mesh with 880 holes per square inch allows for optimal airflow while keeping unwanted bugs at bay. Rest and relax in peace, knowing you're fully protected from irritating insects.

Easy Setup and Adjustments of the outdoor mosquito net

Setting up and adjusting this outdoors mosquito net is a breeze, even in the great outdoors. Simply use tarp ridgeline, trekking pole, stones or branches to build your shelter, and take advantage of the reinforced tie-outs on each corner for enhanced stability. Quick setup and takedown make bug protection hassle-free, allowing you to focus on enjoying your camping experience.

It features 880 holes per square inch so you can rest easy in your hammock without those little Bugs getting in the way.

Convenient in opening and closing whether inside or outside the mosquito net.

The quick setup and takedown maximizes bug protection plus it includes reinforced tie outs on every corner for added stability.
Special design can hang lights to facilitate our activities at night

This sleep system is designed to be the lightest, fully enclosed bug protection that can be used. It weighs 0.35kg, 0.76LBS

 Packs down small to Φ47"*7"/Φ12cm*18cm its maching stuff sack so you can take it with you when backpacking, camping, hiking or embarking on any outdoor adventure.

 Compact and Lightweight Outdoor Mosquito Net

When it's time to hit the road, the Mosquito Net for camping is adventure-ready. Weighing a mere 0.35kg (0.78lbs) and packing down to a compact size of Φ47"7"/Φ12cm18cm, it easily fits into the included stuff sack. Take it with you on backpacking trips, camping excursions, hikes, or any outdoor escapade. It won't weigh you down but will provide superior protection and peace of mind.

Using the Onewind Ultralight Shelter and Onewind Tent Footprint as a roof, you can have a complete shelter set. This combination provides the functionality and affordability of a lightweight tent for your camping needs.

Choose the Onewind Shelter Mosquito Net for superior protection and peace of mind on your next outdoor adventure. Embrace the great outdoors without the nuisance of insects and experience camping like never before.

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SKU: 46866978349

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4.7 ★★★★★
Based on 11 reviews
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William P Ross
Port Orchard, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Dallas, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
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
Lexington, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018
S
Verified Purchase
Stergios Papadimitriou
Birmingham, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 25, 2018

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