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roll20 volo's guide to monsters Dungeons & Dragons: Volo's Guide to Monsters — Game HavenPublisher's blurb: Explore the breadth of D&D's monsters in this immersive 224 page volume filled with beautiful illustrations and in depth lore. Volo's Guide to Monsters provides something exciting for players and Dungeon Masters everywhere! The esteemed loremaster Volothamp Geddarm is back and he's written a fantastical dissertation, covering some of the most iconic monsters in the Forgotten Realms. Unfortunately, the Sage of Shadowdale himself,
Publisher's blurb: Explore the breadth of D&D's monsters in this immersive 224-page volume filled with beautiful illustrations and in-depth lore. Volo's Guide to Monsters provides something exciting for players and Dungeon Masters everywhere! The esteemed loremaster Volothamp Geddarm is back and he's written a fantastical dissertation, covering some of the most iconic monsters in the Forgotten Realms. Unfortunately, the Sage of Shadowdale himself, Elminster, doesn't believe Volo gets some of the important details quite right. Don't miss out as Volo and Elminster square off (academically speaking of course) to illuminate the uninitiated on creatures both common and obscure. Uncover the machinations of the mysterious Kraken Society, what is the origin of the bizarre froghemoth, or how to avoid participating in the ghastly reproductive cycle of the grotesque vargouille. Dungeon Masters and players will get some much-needed guidance as you plan your next venture, traipsing about some dusty old ruin in search of treasure, lore, and let's not forget ... dangerous creatures whose horns, claws, fangs, heads, or even hides might comfortably adorn the walls of your trophy room. If you survive.Shipping Notes
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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.
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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
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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