SKU: 96913370667

2015 Canada $10 DC Comics Originals Unity Fine Silver (No Tax)

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2015 Canada $10 DC Comics Originals Unity Fine Silver (No Tax)CANADA 2015 DC Comics Originals Unity $10 Fine Silver Coin Specification: RCM Number: 148007 Face Value: 10 dollars Mintage: 30,000 Composition: 99. 99% Fine Silver Coloured 1 2 oz Weight: 15. 87 g Diameter: 34. 0 mm Edge: Serrated Finish: Matte Proof Artist: Suzanne Blunt (Obverse) DC Comics (Reverse) The DC Comics Originals series has a classic, slightly retro style, recalling the look most comic bookfans grew up with and remember fondly. Basing

CANADA
2015
 DC Comics Originals Unity
$10 Fine Silver Coin
Specification:
RCM Number: 148007
Face Value: 10 dollars
Mintage: 30,000
Composition: 99.99% Fine Silver Coloured 1/2 oz
Weight: 15.87 g
Diameter: 34.0 mm
Edge: Serrated
Finish: Matte Proof 
Artist: Suzanne Blunt (Obverse) DC Comics (Reverse)

The DC Comics™ Originals series has a classic, slightly retro style, recalling the look most comic bookfans grew up with and remember fondly. Basing itself on the DC Comics™ style of the 1980s, this seriescelebrates one of the most established looks for the DC Comics™ pantheon of super heroes, including some of its most memorable young heroines.

One is the most powerful teenager on the planet; the other is a police commissioner's daughter who spends her nights fighting crime in Gotham City; the last is the adopted sister of Wonder Woman™, raised on Paradise Island.

Supergirl™, Batgirl™ and Wonder Girl™ are not simply female analogues of their mentors—each has the spirit of their associate, plus additional skill sets: Batgirl is an exceptional fighter and detective,and is unparalleled in her computer skills; WonderGirl is a founding member of the teenage sidekick supergroup, The Teen Titans; and Supergirl is...well...SUPERGIRL! She has all thepowers of her cousin, Superman™, with the temperament and passion of a teenager.

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SKU: 96913370667

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4.4 ★★★★★
Based on 22 reviews
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A
Verified Purchase
Adam
Lexington, 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
Battle Creek, 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
Massapequa, 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
Cuba, 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
Carnegie, 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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