SKU: 47917103874

Kubus Sofa by Josef Hoffmann Iconic Furniture | Icone Design Furniture

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Description

Kubus Sofa by Josef Hoffmann Iconic Furniture | Icone Design FurnitureHoffmanns Kubus sofa, designed in 1910, is a great example of his precise geometric lines and quadratic theme in his work. This two and three seater sofa is padded and boasts black and silver painted wooden legs. The Kubus sofas solid wood frame is covered in expanded foam and wrapped in stitched leather squares, making it a perfect match for interior spaces such as residential and contract. The replica is 100% made in Italy and is handcrafted to

Hoffmann’s Kubus sofa, designed in 1910, is a great example of his precise geometric lines and quadratic theme in his work. This two- and three-seater sofa is padded and boasts black and silver painted wooden legs. The Kubus sofa’s solid wood frame is covered in expanded foam and wrapped in stitched leather squares, making it a perfect match for interior spaces such as residential and contract. The replica is 100% made in Italy and is handcrafted to perfection.

Made in Italy
Usually ships within 4 weeks
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ADDITIONAL INFORMATION

Dimensions:
2 Seat:
- Height 72 cm (28.3")
- Width 162 cm (64")
- Depth 75 cm (29.5”)
- SeatH 44 cm (17.3”)
- Weight 16 kg
3 Seat:
- Height 72 cm (28.3")
- Width 224 cm (88")
- Depht 75 cm (29.5”)
- SeatH 44 cm (17.3”)
- Weight 18 kg
Materials:
- Leather
- Wood Frame
General Information:
- Living room
- Hotel room
- Indoor use

The legacy of the Bauhaus is truly remarkable, isn't it? Its approach to integrating art, craft, and technology has left an indelible mark on various design disciplines. Here's a bit more detail on some of the iconic pieces and their designers you mentioned:

1. Wassily Chair by Marcel Breuer: This chair, with its innovative use of tubular steel, was revolutionary for its time and remains a design classic. 2. Barcelona Chair by Mies van der Rohe: Known for its sleek lines and luxury materials, this chair epitomizes modern elegance. 3. Cesca Chair by Marcel Breuer: Combining a tubular steel frame with a caned seat and back, this chair is celebrated for its simplicity and comfort. 4. Table Bauhaus by Marcel Breuer: This table, like many of Breuer's designs, showcases the clean lines and functional forms that are hallmarks of the Bauhaus aesthetic.

The Bauhaus' influence extends beyond furniture; it has shaped graphic design, typography, and architecture, pushing the boundaries of what's possible and encouraging a minimalist yet functional approach.

 

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SKU: 47917103874

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Adam
Charlottesville, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
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Reviewed in the United States on July 14, 2017
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mackster
Bozeman, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018
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Stergios Papadimitriou
Natrona Heights, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
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Sabrina
Lowell, US
★★★★★ 5
100% Recommend
Format: Paperback
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Reviewed in the United States on May 23, 2026

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