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Godzilla Rivals: Round Four TPBStep into the arena as Godzillas most dangerous allies and scariest nemeses square off in a series of sense shattering showdowns! The world is pretty big. Youd think thered be enough room for all the kaiju to claim their own stomping grounds, but even giant monsters arent above needing to protect their territory. Godzilla has friends and foes, and in turn, they vie against one another for dominance. In this quartet of standalone stories, different
Step into the arena as Godzilla’s most dangerous allies and scariest nemeses square off in a series of sense-shattering showdowns!The world is pretty big. You’d think there’d be enough room for all the kaiju to claim their own stomping grounds, but even giant monsters aren’t above needing to protect their territory. Godzilla has friends and foes, and in turn, they vie against one another for dominance. In this quartet of standalone stories, different denizens of Monster Island go claw to claw for exciting, earth-shaking matchups. Marvel as the King of the Monsters throws down with Manda! Cheer on King Ghidorah tussling with SpaceGodzilla and then Mechagodzilla! Pick sides as Mothra battles Hedorah! The fourth volume of Godzilla: Rivals continues the kaiju brawl by creators Tom Waltz, Dave Baker, Jake Lawrence, Josh Trujillo, Casey Maloney, Kevin Anthony Catalan, and Joshua Cornillon.Shipping Notes
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4.3 ★★★★★
Based on 23 reviews
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Product Reviews
★★★★★ 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
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Reviewed in the United States on April 5, 2025
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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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.
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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.
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Reviewed in the United States on April 13, 2025
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024