SKU: 99282162214

Pokemon TCG Team Rocket Mewtwo ex, Persian ex & Nidoking ex Set of 3 Tins Brand New & Sealed

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Description

Pokemon TCG Team Rocket Mewtwo ex, Persian ex & Nidoking ex Set of 3 Tins Brand New & SealedAim for World Domination with Team Rocket! Bring your ambitious plans to fruition by joining forces with some of Team Rockets toughest Pokmon! With this tin, choose the strategic mind of Team Rockets Mewtwo ex, the potent toxins of Team Rockets Nidoking ex, or the prideful power of Team Rockets Persian ex as a foil promo card, then discover more Pokmon and Trainer cards inside a handful of booster packs.

Aim for World Domination with Team Rocket! Bring your ambitious plans to fruition by joining forces with some of Team Rocket’s toughest Pokémon! With this tin, choose the strategic mind of Team Rocket’s Mewtwo ex, the potent toxins of Team Rocket’s Nidoking ex, or the prideful power of Team Rocket’s Persian ex as a foil promo card, then discover more Pokémon and Trainer cards inside a handful of booster packs.

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SKU: 99282162214

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4.4 ★★★★★
Based on 18 reviews
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Verified Purchase
MrGee
Carnegie, US
★★★★★ 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
R
Verified Purchase
R. Cote
Phoenix, US
★★★★★ 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
R
Verified Purchase
Rafael Azevedo Souza Costa
Bozeman, US
★★★★★ 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
T
Verified Purchase
Thomas
Belleville, US
★★★★★ 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.
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Reviewed in the United States on May 4, 2024
L
Verified Purchase
La Monte HP Yarroll
Fort Morgan, US
★★★★★ 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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