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Description
one piece tcg op 09 booster box pre order ONE PIECE TCG: TWO LEGENDS BOOSTER BOX (OP 08) (12 BOXES) Preorder: Re – Collectors Emporium NYSold as Display Dr. Kureha and Dr. Hiriluk from the Drum Kingdom Arc, and Carrot and Wanda from the Zou Arc appear! Plus, the Whitebeard Pirates appear as blue, Big Mom Pirates as purple, and Animal Kingdom Pirates as black, opening up a host of new strategies! The red black Tony Tony. Chopper, red blue Marco, and more Characters become Leaders for the first time! Also includes Leader cards reborn with new effects, such as the purple black King!
Sold as Display➀ Dr. Kureha and Dr. Hiriluk from the Drum Kingdom Arc, and Carrot and Wanda from the Zou Arc appear! Plus, the Whitebeard Pirates appear as blue, Big Mom Pirates as purple, and Animal Kingdom Pirates as black, opening up a host of new strategies!
➁ The red-black Tony Tony.Chopper, red-blue Marco, and more Characters become Leaders for the first time! Also includes Leader cards reborn with new effects, such as the purple-black King!
➂ Loaded with cards that can strengthen various decks! This Booster Pack can also be used as the foundation for decks, allowing newcomers to quickly catch up to experienced players!
Total: [tba] card typesRarity:
• Leader: x [tba]
• Common: x [tba]
• Uncommon: x [tba]
• Rare: x [tba]
• Super Rare: x [tba]
• Secret Rare: x [tba]
• Special Card: x [tba]
• Treasure Rare x [tba]
• DON!! Card x [tba]
*This product also includes alternative art and parallel design cards from the above types.
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4.0 ★★★★★
Based on 1660 reviews
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Product Reviews
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you.
Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”.
I use this as a reference when teaching AI concepts and preparing presentations.
I highly recommend it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
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