


Die Teig-Bibel (Julia Ruby Hildebrand)
Marsoni
M251S
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Friday, May 29
Die Teig-Bibel (Julia Ruby Hildebrand)Ob Brot, Pasta, Torte oder Pfannkuchen in der Kche begegnen wir immer wieder den gleichen Grundteigen. Doch nicht jedes Rezept funktioniert auf Anhieb: Mal bricht der Teig, mal ist er zu weich, mal lsst er sich nicht ausrollen. Dieses Buch bietet eine verlssliche Sammlung erprobter Grundrezepte. Damit greift man einfach zu einem bewhrten Teig und kombiniert ihn flexibel mit neuen Rezeptideen. Ein praktisches Nachschlagewerk fr sichere Erfolge in der
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★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
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
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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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