SKU: 13081332683

James Lee Byars

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James Lee ByarsIn einem Zeitraum von 16 Jahren schrieb der amerikanische Knstler James Lee Byars ber 100 Briefe an Joseph Beuys, ohne je eine Antwort erhalten zu haben. Dennoch erwuchs daraus eine Freundschaft mit zahlreichen Begegnungen bei Ausstellungsprojekten und gemeinsamen Aktionen. Die ungewhnlichen Briefe von zum Teil gigantischen Ausmaen sind Zeugnis dieser Knstlerfreundschaft: Die uerst fragile Qualitt wie auch ihr Reichtum an Materialien, Formen und

In einem Zeitraum von 16 Jahren schrieb der amerikanische Künstler James Lee Byars über 100 Briefe an Joseph Beuys, ohne je eine Antwort erhalten zu haben. Dennoch erwuchs daraus eine Freundschaft mit zahlreichen Begegnungen bei Ausstellungsprojekten und gemeinsamen Aktionen. Die ungewöhnlichen Briefe von zum Teil gigantischen Ausmaßen sind Zeugnis dieser Künstlerfreundschaft: Die äußerst fragile Qualität wie auch ihr Reichtum an Materialien, Formen und Erfindungsgeist ziehen unwillkürlich in Bann. Ein Brief als Kunstwerk setzt im Unterschied zur bildenden Kunst und Literatur einen direkten Adressaten, gleichzeitig aber auch seine Abwesenheit voraus. In dem Bemühen um eine Berührung, die über das Flüchtige, Alltägliche und über die physische Präsenz hinausgehen sollte, revolutionierte Byars mit seinen Briefen herkömmliche Besitzstrukturen und Daseinsformen von Kunst. Die in dieser Publikation vollständig abgebildeten Briefe beinhalten Reflexionen über die eigenen und die Beuysschen Arbeiten, über die schöpferische Produktion und ihren Gegenpol, den Tod.
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SKU: 13081332683

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4.2 ★★★★★
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MrGee
Phoenix, 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
Massapequa, 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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Verified Purchase
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
West Palm Beach, 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
West Palm Beach, 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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