SKU: 4969685677

BK 12 WHERE CUSTER FELL BY JAMES S. BRUST, BRIAN C. POHANKA, SANDY BARNARD #21024988 D2 JUN26

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BK 12 WHERE CUSTER FELL BY JAMES S. BRUST, BRIAN C. POHANKA, SANDY BARNARD #21024988 D2 JUN26The Battle of the Little Bighorn has long held an eminent position among the chronicles of the mythic West. None of the men who rode with Lieutenant Colonel George Armstrong Custer to his Last Stand survived to tell the tale, but this stunning photography book provides a view of the battlefield as it must have existed in 1876. To create Where Custer Fell, authors James S. Brust, Brian C. Pohanka, and Sandy Barnard searched for elusive documents and

The Battle of the Little Bighorn has long held an eminent position among the chronicles of the mythic West. None of the men who rode with Lieutenant Colonel George Armstrong Custer to his “Last Stand” survived to tell the tale, but this stunning photography book provides a view of the battlefield as it must have existed in 1876.

To create Where Custer Fell, authors James S. Brust, Brian C. Pohanka, and Sandy Barnard searched for elusive documents and photographs, made countless trips to the battlefield, and scrutinized all available sources. Each chapter begins with a concise, lively description of an episode in the battle. The narratives are graphically illustrated by historical photos, which are presented alongside modern photos of the same location on the battlefield. The book also features detailed maps and photographs of battle participants and the early photographers who attempted to tell their story.

Paperback. 240 pages. ISBN: 978-0806138343. Measures: 9 x 0.47 x 12 inches. 

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SKU: 4969685677

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MrGee
Boise, 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.
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Reviewed in the United States on August 5, 2021
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R. Cote
Chelsea, 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
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Boise, US
★★★★★ 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
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Thomas
Alexandria, 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
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La Monte HP Yarroll
Louisville, 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.
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Reviewed in the United States on April 13, 2025

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