SKU: 3446931631

Fresh Foam X Evoz ST hardloopschoenen

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Description

Fresh Foam X Evoz ST hardloopschoenenDe New Balance Fresh Foam X Evoz ST Hardloopschoenen zijn ontwikkeld voor hardlopers die op zoek zijn naar een stabiele en soepele rijervaring op de weg. De 'ST' in de naam staat voor stability, wat betekent dat deze schoen extra ondersteuning biedt voor lopers met een lichte tot matige overpronatie. Dankzij de combinatie van het zachte Fresh Foam X tussenzool en een gestructureerd bovenwerk biedt deze schoen de perfecte balans tussen demping,

De New Balance Fresh Foam X Evoz ST Hardloopschoenen zijn ontwikkeld voor hardlopers die op zoek zijn naar een stabiele en soepele rijervaring op de weg. De 'ST' in de naam staat voor stability, wat betekent dat deze schoen extra ondersteuning biedt voor lopers met een lichte tot matige overpronatie. Dankzij de combinatie van het zachte Fresh Foam X-tussenzool en een gestructureerd bovenwerk biedt deze schoen de perfecte balans tussen demping, stabiliteit en responsiviteit.

Belangrijkste kenmerken

  • Fresh Foam X-tussenzool voor een zachte en responsieve demping die de voet bij elke stap optimaal ondersteunt
  • Stabiliteitselement (ST) dat lichte tot matige overpronatie corrigeert voor een veilige en gebalanceerde loopmechanica
  • Engineered mesh bovenwerk voor een ademende en lichtgewicht pasvorm die de voet goed op zijn plek houdt
  • Robuuste rubberen buitenzool met strategisch geplaatste gripzones voor goede tractie op asfalt en andere verharde ondergronden
  • Asymmetrische vetersluiting en zacht gevoerde kraag voor maximaal comfort en een ergonomische pasvorm rond de enkel

Waarom kiezen voor de Fresh Foam X Evoz ST?

De Evoz ST onderscheidt zich door de slimme combinatie van stabiliteit en comfort, zonder dat dit ten koste gaat van het gewicht of de natuurlijke loopbeweging. Waar veel stabiliteitschoenen stijf kunnen aanvoelen, biedt deze schoen een vloeiende en natuurlijke afwikkeling dankzij de flexibele opbouw van de zool. Ideaal als dagelijkse trainingsschoen voor lopers die ondersteuning nodig hebben maar geen compromis willen sluiten op comfort.

Pasvorm & materiaal

Het engineered mesh bovenwerk zorgt voor optimale ventilatie en een lichtgewicht gevoel tijdens het lopen. De Fresh Foam X-tussenzool is gemaakt van hoogwaardig schuim dat zowel zachte demping als een responsieve afwisseling biedt. De pasvorm is gemiddeld van breedte en volgt de natuurlijke vorm van de voet, met voldoende ruimte in de teenbox voor bewegingsvrijheid. De rubberen buitenzool is duurzaam en slijtvast voor een langere levensduur.

Onderhoud & verzorging

Verwijder het losse binnenzool en laat de schoenen op kamertemperatuur drogen, uit de buurt van directe hitte of zonlicht. Reinig de schoenen met een zachte borstel en een mild schoonmaakmiddel – was ze niet in de wasmachine, omdat dit de tussenzool en het bovenwerk kan beschadigen. Bewaar de schoenen op een droge, koele plek en gebruik schoenspanners om de vorm te behouden.

Over New Balance

New Balance is een Amerikaans sportmerk met decennialange ervaring in het ontwikkelen van hoogwaardige sportschoenen en -kleding. Het merk staat bekend om zijn focus op pasvorm, functionaliteit en innovatieve dempingstechnologieën zoals Fresh Foam. New Balance combineert technische prestaties met draagbaar design, populair bij zowel serieuze atleten als recreatieve sporters.

Bestel de New Balance Fresh Foam X Evoz ST Hardloopschoenen bij INTERSPORT

Bestel de New Balance Fresh Foam X Evoz ST Hardloopschoenen eenvoudig online en profiteer van snelle levering zodat jij snel de weg op kunt met stabiliteit en comfort.

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SKU: 3446931631

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4.7 ★★★★★
Based on 5 reviews
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Verified Purchase
Shannon
Chelsea, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Los Angeles, 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
Louisville, 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
Belleville, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Grantham, 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

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