SKU: 53984528709

DC Multiverse: Camouflage Tumbler (The Dark Knight Rises)

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DC Multiverse: Camouflage Tumbler (The Dark Knight Rises)Aus der "DC Multiverse Vehicles" Reihe kommt das coole Fahrzeug. Features: Unglaublich detailliertes Batmobil, kompatibel mit allen 7" DC Multiverse Figuren Kommt mit rollenden Rdern Kommt mit einer Sammlerkarte mit Bild auf der Vorderseite, und Biographie auf der Rckseite Die Dark Knight Trilogie von Christopher Nolan ist eine Serie von drei Batman Filmen, die von 2005 bis 2012 verffentlicht wurden. Die Trilogie besteht aus den Filmen "Batman Begins"

Aus der "DC Multiverse Vehicles" Reihe kommt das coole Fahrzeug.

Features:
- Unglaublich detailliertes Batmobil, kompatibel mit allen 7" DC Multiverse Figuren
- Kommt mit rollenden Rädern
- Kommt mit einer Sammlerkarte mit Bild auf der Vorderseite, und Biographie auf der Rückseite

 

Die Dark Knight-Trilogie von Christopher Nolan ist eine Serie von drei Batman-Filmen, die von 2005 bis 2012 veröffentlicht wurden. Die Trilogie besteht aus den Filmen "Batman Begins" (2005), "The Dark Knight" (2008) und "The Dark Knight Rises" (2012).

"Batman Begins" erzählt die Entstehungsgeschichte von Bruce Wayne (gespielt von Christian Bale) und wie er zum maskierten Helden Batman wurde. Der Film zeigt auch seine Beziehung zu seinem Mentor, dem Ninja Meister Ra's al Ghul (gespielt von Liam Neeson), und seinem Verbündeten, dem Polizisten Jim Gordon (gespielt von Gary Oldman).

"The Dark Knight" ist der zweite Film der Trilogie und wird oft als der beste bezeichnet. Der Film konzentriert sich auf Batmans Kampf gegen den Joker (gespielt von Heath Ledger), einen der berüchtigtsten Bösewichte der Batman-Geschichte. Der Film wurde posthum mit einem Oscar für die beste Nebenrolle an Heath Ledger ausgezeichnet.

"The Dark Knight Rises" ist der letzte Film der Trilogie und zeigt Batman im Kampf gegen den Schurken Bane (gespielt von Tom Hardy). Der Film zeigt auch die Einführung von Selina Kyle (gespielt von Anne Hathaway), auch bekannt als Catwoman, sowie die Entwicklung von Bruce Waynes Charakter und seinem Konflikt zwischen Batman und seinem wahren Ich.

Die Dark Knight-Trilogie ist bekannt für ihre düstere und realistische Darstellung von Batman und Gotham City. Christopher Nolan schuf eine epische Erzählung über einen Superhelden, der nicht nur seine Stadt, sondern auch seine eigenen inneren Dämonen bekämpft. Die Filme sind auch berühmt für ihre brillante Besetzung, darunter Christian Bale, Heath Ledger, Tom Hardy, Anne Hathaway, Gary Oldman und viele andere talentierte Schauspieler.

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SKU: 53984528709

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4.1 ★★★★★
Based on 8 reviews
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A
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Adam
Lake Worth, 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
Dallas, 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
Fort Morgan, 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
Lexington, 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
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Verified Purchase
Sabrina
Louisville, 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.
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Reviewed in the United States on May 23, 2026

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