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Description
LEGO® Ninjago Elemental Dragon vs. The Empress Mech 71796Product Number: 71796 Product Piece Count: 1038 For Ages: 9+ Group Description: Ninjago Product Description: Ninja fans aged 9+ can recreate an epic showdown from the NINJAGO Dragons Rising TV series with Elemental Dragon vs. The Empress Mech (71796). The building set features fearsome dragon Jiro, who can be upgraded by adding golden blade wings and stud shooters from a flyer vehicle to take on the Empresss posable golden mech, who is wielding a
Product Number: 71796
Product Piece Count: 1038
For Ages: 9+
Group Description: Ninjago®
Product Description:
Ninja fans aged 9+ can recreate an epic showdown from the NINJAGO® Dragons Rising TV series with Elemental Dragon vs. The Empress Mech (71796). The building set features fearsome dragon Jiro, who can be upgraded by adding golden blade wings and stud shooters from a flyer vehicle to take on the Empress’s posable golden mech, who is wielding a large sword.
Premium toy for kids
The impressive playset includes 6 minifigures. Jay, Sora and Zane each come with 2 golden katanas to defeat the trio of Lord Ras with his hammer, Empress Beatrix with her Imperium sword and an Imperium Guard with a staff. There’s also a yellow dragon power element for the characters to battle over, and kids can collect 4 more in different colors and 4 golden dragon energy core elements in other NINJAGO sets.
A fun digital experience for LEGO® builders
Let the LEGO Builder app guide you and your child on an easy and intuitive building adventure. Zoom in and rotate models in 3D, save sets and track your progress.
- Dragon and mech playset – Kids aged 9+ can play out an epic showdown from the NINJAGO® Dragons Rising TV series with the Elemental Dragon vs. The Empress Mech (71796) set
- 6 minifigures – Jay, Sora and Zane, who come with 2 golden katanas each to take on Lord Ras and his hammer, Empress Beatrix with her Imperium sword and an Imperium Guard with a staff
- Flyer vehicle – The ninja can take to the skies in a flyer armed with golden blade wings and powerful shooters that can fire 4 studs
- Upgradable ninja dragon – The dragon Jiro can be upgraded into a bigger and more imposing model by adding the golden blade wings and stud shooters from the flyer
- Collectible yellow dragon power element – The ninja and Empress Beatrix are fighting over this power source, and kids can collect 4 more power elements in different colors in other LEGO® NINJAGO® sets
- LEGO® gift idea – This 1,038-piece premium construction set for kids aged 9+ provides a fun-filled build-and-play experience and canbe given as a birthday present or holiday gift
- Display item – Standing over 9.5 in. (25 cm) tall, Jiro the elemental dragon can be displayed in kids’ bedrooms after they finish playing out daring clashes with it
- A new way to build – The LEGO® Builder app guides kids on an intuitive building adventure. They can save sets, track progress and zoom in and rotate models in 3D while they build
- Premium quality – For more than 6 decades, LEGO® bricks have been made to ensure they connect consistently every time
- Safety assurance – LEGO® building bricks meet stringent global safety standards
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4.8 ★★★★★
Based on 17 reviews
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Product Reviews
★★★★★ 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.
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Reviewed in the United States on May 22, 2026
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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