SKU: 15731894101

PT V2 Power Cage Force USA

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Description

PT V2 Power Cage Force USADer Force USA PT V2 Power Cage ist ein robuster, frei stehender Kraftkfig fr ernsthaftes Krafttraining. Mit vollstndig geschlossener Vier Pfosten Konstruktion, verstellbaren Sicherheitsstangen und J Haken bietet der PT V2 Power Cage das komplette Sicherheitspaket fr schwere Verbundbungen solo oder mit Partner. Vier Pfosten Sicherheit fr schweres Training Der PT V2 Power Cage umschliet dich vollstndig von vier Seiten. Das gibt dir bei schweren

Der Force USA® PT V2 Power Cage ist ein robuster, frei stehender Kraftkäfig für ernsthaftes Krafttraining. Mit vollständig geschlossener Vier-Pfosten-Konstruktion, verstellbaren Sicherheitsstangen und J-Haken bietet der PT V2 Power Cage das komplette Sicherheitspaket für schwere Verbundübungen – solo oder mit Partner.

Vier-Pfosten-Sicherheit für schweres Training

Der PT V2 Power Cage umschließt dich vollständig von vier Seiten. Das gibt dir bei schweren Kniebeugen, Bankdrücken und Military Press maximale Sicherheit. Die Sicherheitsstangen fangen die Stange auf, wenn du in der Bewegung versagst – ganz ohne Trainingspartner. Das ist echter Schutz, keine halbe Lösung. Die J-Haken sind stabil, leicht bedienbar und schnell verstellbar.

Verstellbar für alle Körpergrößen und Übungen

Sowohl J-Haken als auch Sicherheitsstangen lassen sich auf zahlreichen Höhenstufen positionieren. Damit passt sich der PT V2 an deine Körpergröße und jede Übungsanforderung an. Kurze oder lange Personen, hohe oder niedrige Starthöhen – der Cage passt sich flexibel an. Auch Klimmzüge am oberen Querbalken sind problemlos möglich.

Basis für ein vollständiges Trainingssetup

Der PT V2 Power Cage ist als Basis konzipiert. Er kann mit dem optionalen Lat-Attachment-Package erweitert werden, um Latzug- und Ruderübungen hinzuzufügen. So baust du schrittweise ein vollständiges Setup auf – ohne sofort in ein teureres All-In-One-Gerät investieren zu müssen. Der Einstieg ist modular und skalierbar.

Für wen ist der PT V2?

Der PT V2 ist ideal für Kraftsportler, die ein zuverlässiges, bezahlbares Power Rack suchen, das keine Wünsche offen lässt. Ob Garagengym oder Kellertraining – der PT V2 liefert kommerzielle Qualität für den Heimbereich. Er ist für Einsteiger genauso geeignet wie für fortgeschrittene Powerlifter, die ein sicheres und funktionales Setup benötigen.

Technische Details

  • Typ: Power Cage (4 Pfosten, geschlossen)
  • Sicherheitsstangen: Verstellbar, mehrere Höhenpositionen
  • J-Haken: Stabil, einfach verstellbar
  • Erweiterbar: Mit Lat-Attachment-Package kombinierbar
  • Marke: Force USA

Häufig gestellte Fragen

Kann ich den PT V2 ohne Werkzeug umbauen?

J-Haken und Sicherheitsstangen lassen sich werkzeuglos umstecken. Die Grundmontage des Cages erfordert Werkzeug und sollte einmalig durchgeführt werden.

Was ist der Unterschied zwischen PT V2 Power Cage und PT V2 Power Rack?

Der Power Cage ist geschlossen (4 Pfosten). Das PT V2 Power Rack and Lat Attachment Package kombiniert das Rack mit einem integrierten Lat-Pulldown-System.

Kann ich am PT V2 Klimmzüge machen?

Ja. Der obere Querbalken des PT V2 ist als Klimmzugstange nutzbar.

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SKU: 15731894101

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4.5 ★★★★★
Based on 13 reviews
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Verified Purchase
William P Ross
Draper, 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
Los Angeles, 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
Carnegie, 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
San Leandro, 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
S
Verified Purchase
Stergios Papadimitriou
Fort Morgan, 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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