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Description
Eva Solo Facettenglas, Gläser, Glasset, Wasserglas, Trinkglas, Saftglas, Trinken, Genießen, Glas, Transparent, 270 ml, 6er Set, 567433Die Marke Eva Solo entstand 1997 und steht fr alltgliche Gebrauchsgegenstnde in exklusivem Design. Hauptkennzeichen sind Schlichtheit, klare Linien und ein hoher Gebrauchswert. Die Marke Eva Solo umfasst die Produktkategorien Cooking, Serving, Living und Outdoor. Alle Glser und die Schale passen zu jedem Einrichtungsstil, sei er rustikal oder eher leicht und elegant. Smtliche Artikel der Serie bestehen aus gehrtetem Glas und sind bis 130C
Die Marke Eva Solo entstand 1997 und steht für alltägliche Gebrauchsgegenstände in exklusivem Design. Hauptkennzeichen sind Schlichtheit, klare Linien und ein hoher Gebrauchswert. Die Marke Eva Solo umfasst die Produktkategorien Cooking, Serving, Living und Outdoor.Alle Gläser und die Schale passen zu jedem Einrichtungsstil, sei er rustikal oder eher leicht und elegant. Sämtliche Artikel der Serie bestehen aus gehärtetem Glas und sind bis 130°C hitzebeständig.
• Robust und für den täglichen Gebrauch geeignet
• Für Heiß- und Kaltgetränke geeignet
• Spülmaschinenfest
Maße ohne Verpackung:
Länge: 8 cm
Breite: 8 cm
Höhe: 9 cm
Fassungsvermögen: 270 ml
Material: Glas
Farbe: Transparent
Hersteller-Artikelnummer: 567433
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4.8 ★★★★★
Based on 8 reviews
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Product Reviews
★★★★★ 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
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
★★★★★ 5
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 7, 2024
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