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Impronta Ceramiche, Marmi di Impronta - IMI0388L - Calacatta Macchia Vecchia, Lappato, 80x80cm, 9.00mm, Rett.De Marmi di Impronta tegels van Impronta Ceramiche zijn de ideale keuze om een vleugje elegantie en stijl aan uw kamers te geven. Bedankt Dankzij het lappato, matte oppervlak geeft deze tegel met marmereffect een luxueuze en verfijnde uitstraling, die zich perfect aanpast aan elk type ontwerp. Met een selectie verfijnde kleuren, waaronder amazzoniet verde, bianco lasa, calacatta cervaiole , calacatta macchia vecchia, calacatta oro, nero marquinia,
De Marmi di Impronta tegels van Impronta Ceramiche zijn de ideale keuze om een vleugje elegantie en stijl aan uw kamers te geven.Bedankt Dankzij het lappato, matte oppervlak geeft deze tegel met marmereffect een luxueuze en verfijnde uitstraling, die zich perfect aanpast aan elk type ontwerp.
Met een selectie verfijnde kleuren, waaronder amazzoniet verde, bianco lasa, calacatta cervaiole , calacatta macchia vecchia, calacatta oro, nero marquinia, statuario bianco, de Marmi di Impronta tegel is verkrijgbaar in verschillende formaten, zoals 30x60cm, 20x120cm, 60x60cm, 80x80cm, 60x120cm, 80x160cm, 120x120cm, 120x120cm, 120x26, 0cm, 120x280cm, 160x320cm, en biedt flexibiliteit en veelzijdigheid voor het creëren van uw ruimtes.
Dankzij de dikte van 6,00 mm, 9 mm garanderen de Marmi di Impronta tegels weerstand en duurzaamheid in de loop van de tijd en behoudt zijn schoonheid zelfs na meerdere jaren gebruik.
De tegels Marmi di Impronta van zijn gemaakt van hoogwaardige materialen en met aandacht voor elk detail.>Impronta Ceramiche is de perfecte keuze voor wie op zoek is naar een hoogwaardige oplossing.
Kies de tijdloze schoonheid en elegantie van tegels Marmi di Impronta van Impronta Ceramiche om uw ruimtes om te toveren in echte designmeesterwerken.
| Merk | Impronta Ceramiche | |
| Collectie | Impronta-afbeeldingen | |
| Categorie | Tegels | |
| Kleur | Amazzoniet Verde, Bianco Lasa, Calacatta Cervaiole, Calacatta Macchia Vecchia, Calacatta Oro, Nero Marquinia, Statuario Bianco | |
| Oppervlakte | Lappato, mat | |
| Afmetingen | 30x60cm, 20x120cm, 60x60cm, 80x80cm, 60x120cm, 80x160cm, 120x120cm, 120x260cm, 120x280cm, style="breedte :303.625px;" data-mce-style="breedte: 305.442px;">Dikte | 6,00 mm, 9 mm |
| Gerectificeerd | Gerectificeerd | |
| Effect | Marmer | |
| Gebruik | Binnen | |
| Materiaal | Porcellanato | |
| Antislipbescherming | Niet uitgesloten |
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4.1 ★★★★★
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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
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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
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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.
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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.
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Reviewed in the United States on May 7, 2024