SKU: 99850530680

ein rosafarbenes gluck

Sale price$22.41 Regular price$24.90
Save 10%

Pay in installments of $6.22 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 28 - Aug 2

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

ein rosafarbenes gluckIm weiten Panorama der Kunstgeschichte gelingt es einigen Werken, die Essenz der Natur mit solcher Intensitt einzufangen, dass sie den bloen malerischen Rahmen berschreiten. Ein Hirsch Rosa Bonheur ist eines dieser emblematischen Werke, die sowohl die Majestt des Tierreichs als auch die technische Virtuositt ihres Schpfers hervorrufen. Geschaffen von Rosa Bonheur, einer der berhmtesten franzsischen Malerinnen des 19. Jahrhunderts, entfhrt uns dieses

Im weiten Panorama der Kunstgeschichte gelingt es einigen Werken, die Essenz der Natur mit solcher Intensität einzufangen, dass sie den bloßen malerischen Rahmen überschreiten. „Ein Hirsch – Rosa Bonheur“ ist eines dieser emblematischen Werke, die sowohl die Majestät des Tierreichs als auch die technische Virtuosität ihres Schöpfers hervorrufen. Geschaffen von Rosa Bonheur, einer der berühmtesten französischen Malerinnen des 19. Jahrhunderts, entführt uns dieses Werk in eine Welt, in der die Wildtiere mit bemerkenswerter Treue und Feinfühligkeit dargestellt werden. Durch diesen kunstdruck wird der Betrachter eingeladen, die rohe Schönheit und Anmut eines Hirsches zu betrachten, ein Symbol für Freiheit und Adel, eingefangen in einem Moment der Ruhe.

Der Stil von Rosa Bonheur zeichnet sich durch akribischen Realismus und die Fähigkeit aus, der Natur Tribut zu zollen. In „Ein Hirsch“ wird jedes Detail sorgfältig beobachtet, von den Reflexen im Fell bis zu den Lichtspielen, die die Szene streicheln. Die Komposition ist zugleich einfach und kraftvoll und hebt die schlanke Silhouette des Tieres in einer Umgebung hervor, die sowohl vertraut als auch wild erscheint. Die Künstlerin verwendet eine Palette natürlicher Farben, von warmen Brauntönen bis zu beruhigenden Grüntönen, und schafft so eine visuelle Harmonie, die zur Kontemplation einlädt. Die Haltung des Hirsches, zugleich majestätisch und friedlich, ruft eine tiefe Verbindung zwischen Mensch und Natur hervor – ein Thema, das Bonheur besonders am Herzen lag.

Den kunstdruck von „Ein Hirsch“ zu erwerben, ist eine Einladung, Ihren Raum mit einem Werk zu bereichern, das die zeitlose Schönheit der Natur feiert. Perfekt für Liebhaber der Tiermalerei und Fans von Rosa Bonheur bringt dieses Bild einen Hauch von Eleganz und Gelassenheit in Ihr Interieur. Entdecken Sie auch alle Werke von Rosa Bonheur, um weitere Meisterwerke wie „Pferdemarkt“ und „Nivernais-Pflügen“ zu entdecken. Verpassen Sie nicht „Relais de chasse 1917“, ein weiteres fesselndes Werk der Künstlerin, das Kunstliebhaber ebenfalls begeistern wird.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 99850530680

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.9 ★★★★★
Based on 29 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
S
Verified Purchase
Shannon
Fort Morgan, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Grantham, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Carnegie, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Phoenix, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Natrona Heights, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

recommand products