SKU: 95818750896

2023/24 Upper Deck Series 2 Hockey Tin

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Description

2023/24 Upper Deck Series 2 Hockey Tin2023 24 Upper Deck Series 2 Hockey Tin (Box) Every Box contains One 3 Card Tin Exclusive Dazzler Pack & At Least Three Young Guns! Refresher on the Refresh! We made some exciting changes to the Upper Deck Series and the Tin specifically, to deliver an even more compelling collecting experience! The changes: Four (4) more cards per pack! An improved insert to base card ratio in each pack. Each pack now contains three (3) inserts, on average. At least

2023/24 Upper Deck Series 2 Hockey Tin (Box)

 


Every Box contains One 3-Card Tin-Exclusive Dazzler Pack & At Least Three Young Guns!

Refresher on the Refresh! We made some exciting changes to the Upper Deck Series and the Tin specifically, to deliver an even more compelling collecting experience! The changes:
- Four (4) more cards per pack!
- An improved insert-to-base card ratio in each pack. Each pack now contains three (3) inserts, on average.
- At least one (1) more regular Young Guns card per Tin! Each tin now contains at least three (3) of the highly sought-after and iconic rookie cards.
- The introduction of a stunning base set parallel, which also means more Young Guns cards to chase!
- A bonus pack containing three (3) Tin-exclusive Dazzlers cards. Most bonus packs will contains three (3) Orange Dazzlers. Select packs will see one of the Orange versions replaced by either a Red version or a Black version!

Series 2 sports the next 250 cards (251-500) of the 2023-24 Upper Deck base set. Annually, the Upper Deck base set is the most widely-collected base set in hockey. The set includes 198 veteran cards, 49 Young Guns cards (the most anticipated rookie cards of the season!) and three checklist cards. Keep an eye out for Outburst parallels!

Fans and collectors alike will be blown away by the UD Portraits cards! The 2023-24 version of this classic insert portrays star veterans and rookies like you've never seen them before! No two player portraits are the same. Series 2 hosts the final 30 cards of the 2023-24 UD Portraits set. Collect at least one (1) per Tin, on average!

UD Canvas, an intra-series set that is a longtime favorite amongst collectors, features a collection of the top stars in the game today, the best of the Young Guns and, in Series 2 only, short-printed Retired and Program of Excellence (rookies that have played for Team Canada) subsets. Series 2 contains the next 150 cards (C121-C270) of the 2023-24 set. Collect at least one (1) UD Canvas card per Tin, on average!

New Insert Sets! The latest edition of Series 2 sports an impressive lineup of new insert sets sure to please everyone, from the casual fan to the avid collector:
- Director of Boards: This set showcases some of the more physical players in the game today. Collect at least one per Tin, on average.
- Ecliptic: Top stars and rookies are pictured shooting the puck in this all-new set. Collect two (2) per Tin, on average.
- Instinctive: Goalie fans will dig this set showing top goalies making a save! Collect three (3) per Tin, on average.
- PC's: This superstar-laden set boasts arguably the best player from each team along with three extra superstars! Collect three (3) per Tin, on average.
For each set above, there are also Sparkle and rare Gold Sparkle parallels to collect!
- Deep Roots: This set showcases 50 foundational players! Collect three (3) Deep Roots cards per Tin, on average.
- Glaring: Each card in this rare set features a close-up image of the eyes of a star player!
- Monsert Season: This special set commemorates Connor McDavid's 2022-23 season, which culminated with his third Hart Memorial Trophy win! There is a card for each of his 82 regular season games played - each with a photo from and some text about the game.

The Honor Roll set is back. Collect the final 35 cards of this popular intra-series set. In Series 1, the checklist consisted of only star veterans, but for Series 2, the checklist is comprised solely of rookies! Each Tin will contain, on average, four (4) Honor Roll cards.

The O-Pee-Chee Glossy insert features star veterans and top rookies. Collect four (4) regular versions and at least one (1) Gold parallel per Tin, on average!

PRODUCT BREAKDOWN:

Exclusive Bonus Pack!
- Orange Dazzlers 3:1 (2:1 when a Red or Black parallel card falls)
- Red Dazzlers 1:4
- Black Dazzlers 1:12

Young Guns Cards:
- Young Guns (451-500) 1:3
- Young Guns - Outburst Parallel 1:180
- UD Canvas Young Guns 1:48

New Insert Cards:
- Deep Roots 1:4
- Director of Boards 1:8
- Director of Boards - Sparkle Parallel 1:40
- Director of Boards - Gold Sparkle Parallel 1:960
- Ecliptic 1:6
- Ecliptic - Sparkle Parallel
1:30
- Ecliptic - Gold Sparkle Parallel 1:720
- Glaring 1:134
- Instinctive 1:4
- Instinctive - Sparkle Parallel 1:20
- Instinctive - Gold Sparkle Parallel 1:480
- Monster Season 1:30
- PC's 1:4
- PC's - Sparkle Parallel 1:18
- PC's - Gold Sparkle Parallel 1:412

Returning Insert Cards:
- Day With The Cup 1:5000
- Honor Roll 1:3
- O-Pee-Chee Glossy 1:3
- O-Pee-Chee Glossy - Gold Parallel 1:8
- UD Canvas 1:8
- UD Canvas Retired 1:192
- UD Canvas Program of Excellence 1:192
- UD Portraits 1:7

Veteran Base Set Cards:
- Base Set (251-450) N/A
- Base Set - Outburst Parallel
1:45

8 Packs per Tin + 1 Exclusive Dazzlers 3-Card Bonus Pack, 12 Cards per Pack

Shipping Notes
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  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 95818750896

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4.6 ★★★★★
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Shannon
Massapequa, 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
Chelsea, 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.
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Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
San Leandro, 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
Los Angeles, 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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