SKU: 29641036564

mensola rettangolare 3 scomparti da parete 70x30x15 5 cm in fibra di legno tristano grigio sasso 279949

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mensola rettangolare 3 scomparti da parete 70x30x15 5 cm in fibra di legno tristano grigio sasso 279949Mensola Mensola Rettangolare 3 Scomparti da Parete 70x30x15. 5 cm in Fibra di Legno Tristano Grigio Sasso Crea un angolo di design con la mensola a cubo Tristano! Grazie ai tre scomparti puoi mettere in bella vista gli oggetti e le decorazioni pi svariate a cui tieni di pi, come foto di famiglia, souvenir, libri dautore, piccoli pezzi darte, piante da interno e dare un tocco pi moderno alle mura bianche di qualsiasi stanza della casa. Facile da

Mensola

Mensola Rettangolare 3 Scomparti da Parete 70x30x15.5 cm in Fibra di Legno Tristano Grigio Sasso

Crea un angolo di design con la mensola a cubo Tristano!
Grazie ai tre scomparti puoi mettere in bella vista gli oggetti e le decorazioni più svariate a cui tieni di più, come foto di famiglia, souvenir, libri d’autore, piccoli pezzi d’arte, piante da interno e dare un tocco più moderno alle mura bianche di qualsiasi stanza della casa. Facile da fissare alla parete, potrai posizionarla si in orizzontale che in verticale e usarla, ad esempio, per completare la parete attrezzata in soggiorno, formare una libreria oppure in camera da letto, in corridoio, in bagno e persino in cucina per poggiare spezie e condimenti. Realizzate con materie prime di qualità con l’utilizzo di legname proveniente da foreste gestite responsabilmente secondo gli alti standard FSC e certificata 100% Made in Italy.

Caratteristiche Tecniche

  • Dimensioni (LxPxA): 70 x 15,5 x 30 cm
  • Spessore: 1,8 cm
  • Prodotto di qualità e design 100% Made in Italy
  • Materiale in fibra di legno MDF con finitura opaca
  • Piano d’appoggio multiuso ideale per ingresso, soggiorno, ufficio e qualunque altro ambiente
  • Mensola ideale per esporre oggetti e decorazioni
  • Complemento d’arredo pratico e leggero
  • Perfettamente adatta per ogni genere di parete
  • Mensola coordinabile con gli altri elementi della serie
  • Fissaggio a scomparsa su pareti a supporto in muratura (NO cartongesso)
  • Portata massima: 10 kg per mensola
  • Rivestimento in polipropilene per modelli tinta unita
  • Rivestimento in carta melaminica per modelli effetto legno
  • Il prodotto viene fornito già montato
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SKU: 29641036564

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R. Cote
New York, 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
Pawtucket, 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
San Leandro, 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
Chelsea, 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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3rd Act
Battle Creek, US
★★★★★ 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

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