SKU: 27424326170

Min Bed AluAlu

Sale price$1170.00 Regular price$1300.00
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Description

Min Bed AluAluThe Min Bed AluAlu is the result of more than twenty years of refinement a bed designed by Luciano Bertoncini and made in Italy, where precision and lightness meet in a single gesture. Its powder coated aluminum frame, available in white, black, or the warm new Jaipur red, is both minimal and incredibly strong. The included wooden slatted base rests inside the structure with quiet confidence, ensuring comfort and natural ventilation. Assembly is part

The Min Bed AluAlu is the result of more than twenty years of refinement — a bed designed by Luciano Bertoncini and made in Italy, where precision and lightness meet in a single gesture. Its powder-coated aluminum frame, available in white, black, or the warm new Jaipur red, is both minimal and incredibly strong. The included wooden slatted base rests inside the structure with quiet confidence, ensuring comfort and natural ventilation.

Assembly is part of the experience: a few essential elements, no unnecessary steps, and the satisfying feeling of building something perfectly designed. In just minutes, the bed takes shape, ready to live in any space. And because of this intelligent construction, it arrives anywhere in the world in a compact, beautifully efficient box — with shipping to the United States and Europe included in the price, without surprises.

From the long collaboration with Kristalia, new upholstered headboards were developed to extend the bed’s personality. They are covered in Kvadrat Field 2, a prestigious, high-performance textile known for its depth, texture, and durability.
These padded panels can also be added later to existing wooden headboards, giving even long-time owners the chance to refresh their Min Bed with a single, elegant gesture.
For those who prefer the warmth of natural materials, the classic Oak and Walnut curved wooden headboards remain available.

Kvadrat Field 2 — Color Selection

Beige & White (#123) — soft, calming, quietly luminous.

Dark Gray (#192) — refined, balanced, and unmistakably contemporary.

Dark Red (#663) — expressive, deep, and full of character.

These fabrics age beautifully, holding both color and structure over years of everyday use.

Available Sizes

US sizes: Queen, King

European sizes: 140×200, 160×200, 180×200 cm

On request: Twin and Full, available via our contact page.

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Exchange/Return Notes
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SKU: 27424326170

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R. Cote
Chelsea, 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
Massapequa, 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
Phoenix, 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
Louisville, 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
Dallas, 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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