SKU: 38216655485
tentes rando

tentes rando Tente rando 1-2 places UPF50+

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Description

tentes rando Tente rando 1-2 places UPF50+Tente de randonne 1 2 places P Series avec protection UV. Conue pour le bivouac, la rando itinrante et le camping nature, cette tente dme double paroi offre un abri compact pour une ou deux personnes, avec un auvent avant pratique pour cuisiner ou stocker le matriel. Le double toit en polyester 210T emboss reoit une enduction PU2000+ (environ 2 500 mm) et un traitement UPF50+ qui limite fortement la pntration des UV. Le tissu disperse la lumire, rduit

Tente de randonnée 1 à 2 places P-Series avec protection UV. Conçue pour le bivouac, la rando itinérante et le camping nature, cette tente dôme double paroi offre un abri compact pour une ou deux personnes, avec un auvent avant pratique pour cuisiner ou stocker le matériel.

Le double-toit en polyester 210T embossé reçoit une enduction PU2000+ (environ 2 500 mm) et un traitement UPF50+ qui limite fortement la pénétration des UV. Le tissu disperse la lumière, réduit l’échauffement intérieur et protège la peau en conditions ensoleillées. Le tapis de sol en Oxford 150D à enduction PU élevée forme une cuve continue qui isole de l’humidité et des remontées d’eau. La chambre intérieure combine tissu polyester coupe-vent et moustiquaire fine 68D pour ventiler efficacement tout en bloquant les insectes. Les coutures critiques sont renforcées et étanchéifiées.

L’architecture dôme autoportante s’appuie sur des arceaux en alliage d’aluminium, légers et résistants, offrant une bonne tenue au vent. L’abside avant se transforme en petit auvent à l’aide de bâtons de marche ou de mâts (non inclus), créant un hall d’entrée abrité pour sac, chaussures ou pauses à l’ombre. Avec une surface de couchage d’environ 215 × 135 cm et une hauteur intérieure proche de 120 cm, l’espace convient à un randonneur avec équipement généreux ou à deux personnes en mode compact. Pliée, la tente tient dans un sac d’environ 45 × 17 cm pour un poids complet proche de 2,1 kg, poids minimal autour de 1,9 kg en retirant certains accessoires.

Caractéristiques techniques et avantages

  • Architecture dôme autoportante : structure croisée stable, se tient seule avant la pose des sardines, pratique sur sols durs ou plateformes.
  • Usage toutes saisons tempérées : double paroi offrant un bon compromis entre isolation et ventilation, utilisable toute l’année hors haute montagne extrême.
  • Tissu extérieur 210T polyester embossé : surface texturée améliorant la diffusion de la lumière, séchage rapide et bonne résistance à l’abrasion.
  • Etanchéité PU2000+ : enduction polyuréthane assurant une protection fiable contre la pluie continue, coutures exposées thermo-soudées.
  • Protection solaire UPF50+ : traitement anti-UV limitant la transmission des UVA/UVB, adapté aux bivouacs prolongés en plein soleil.
  • Sol Oxford 150D cuve intégrale : toile épaisse enduite, bords remontant pour réduire les infiltrations et protéger le matelas de l’humidité.
  • Chambre intérieure respirante : combinaison de tissu plein et de moustiquaire haute densité, confort par temps frais comme par nuits chaudes.
  • Armature aluminium alliage : arceaux segmentés robustes, bonne élasticité, durée de vie supérieure aux arceaux en fibre de verre.
  • Auvent avant modulable : porte principale prolongeable en abri, permettant de cuisiner ou de s’asseoir à l’ombre par temps chaud.
  • Ventilation optimisée : aérations supérieures protégées, porte et auvent entrebâillables, limitant nettement la condensation nocturne.
  • Confort pour 1 à 2 personnes : longueur d’environ 215 cm adaptée aux grands gabarits, largeur 135 cm pour un couchage simple large ou deux matelas compacts.
  • Accastillage fiable : fermetures à double curseur, points d’ancrage renforcés, sangles de réglage aux angles pour tendre précisément la toile.
  • Visibilité et sécurité : haubans réfléchissants repérables à la frontale, couleur de toile visible en terrain naturel.
  • Accessoires inclus : sac de transport compact, jeu de sardines métalliques et haubans pré-montés prêts à l’emploi.
  • Coloris : trois couleurs disponibles selon les séries : jaune, bleu ou gris.
  • Dimensions et poids : espace de couchage env. 215 × 135 cm, hauteur intérieure 120 cm, sac 45 × 17 cm, poids complet env. 2,1 kg, poids minimal env. 1,9 kg.
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SKU: 38216655485

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4.0 ★★★★★
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Shannon
Louisville, 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
W
Verified Purchase
William P Ross
Chelsea, 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
A
Verified Purchase
Adam
Belleville, 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
Lowell, 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
Birmingham, 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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