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The Second World Wars: How the First Global Conflict Was Fought and WonA definitive account of World War II by America's preeminent military historian. World War II was the most lethal conflict in human history. Never before had a war been fought on so many diverse landscapes and in so many different ways, from rocket attacks in London to jungle fighting in Burma to armor strikes in Libya. The Second World Wars examines how combat unfolded in the air, at sea, and on land to show how distinct conflicts among disparate
A definitive account of World War II by America's preeminent military historian.World War II was the most lethal conflict in human history. Never before had a war been fought on so many diverse landscapes and in so many different ways, from rocket attacks in London to jungle fighting in Burma to armor strikes in Libya. The Second World Wars examines how combat unfolded in the air, at sea, and on land to show how distinct conflicts among disparate combatants coalesced into one interconnected global war. Drawing on 3,000 years of military history, bestselling author Victor Davis Hanson argues that despite its novel industrial barbarity, neither the war's origins nor its geography were unusual. Nor was its ultimate outcome surprising. The Axis powers were well prepared to win limited border conflicts, but once they blundered into global war, they had no hope of victory. An authoritative new history of astonishing breadth, The Second World Wars offers a stunning reinterpretation of history's deadliest conflict.
Binding Type: Hardcover
Publisher: Basic Books
Published: 10/17/2017
ISBN: 9780465066988
Pages: 720
Weight: 2.15lbs
Size: 9.40h x 6.50w x 2.30d
Review Citations: Kirkus Reviews 08/01/2017 pg. 107
Publishers Weekly 08/28/2017
Library Journal 10/01/2017 pg. 85
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4.6 ★★★★★
Based on 18 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
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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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
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