SKU: 42514696575

Santoku Abalone

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Description

Santoku AbaloneDie Nr. 1 in Japan "Santoku" ist ein herausragendes Kchenmesser, das fr eine Vielzahl von Anwendungen geeignet ist, einschlielich Fleisch, Fisch und Gemse. Dieses Meisterwerk verbindet die besten Eigenschaften des japanischen Nakiri Gemsemessers und des westlichen Gyuto Chefmessers. Aufgrund seiner hervorragenden Handhabung und praktischen Nutzung ist es das bevorzugteste Messer in japanischen Haushalten. Es wird sowohl fr Einsteiger als auch fr

Die Nr. 1 in Japan

"Santoku" ist ein herausragendes Küchenmesser, das für eine Vielzahl von Anwendungen geeignet ist, einschließlich Fleisch, Fisch und Gemüse. Dieses Meisterwerk verbindet die besten Eigenschaften des japanischen Nakiri-Gemüsemessers und des westlichen Gyuto-Chefmessers. Aufgrund seiner hervorragenden Handhabung und praktischen Nutzung ist es das bevorzugteste Messer in japanischen Haushalten. Es wird sowohl für Einsteiger als auch für Profis empfohlen, die auf der Suche nach einer herausragenden Schneidleistung sind.

  • 67 Lagen japanischer Damast Stahl mit VG-10 Edelstahlkern
  • Gehärtet auf 61° HRC Rockwell
  • Rasiermesserscharfes Kochmesser
  • Das Beste in seiner Preisklasse
  • Exquisite Geschenkbox im Lieferumfang.

Das macht die Abalone Kollektion aus.

Unser Abalone-Messer sind ein Meisterwerk der Handwerkskunst. Die Griffe sind aus natürlichen Perlmuttmaterialien gefertigt und verleihen jedem Messer einzigartige Farben und Muster. Durch eine dünne Schicht aus Kunstharz wird der Griff stabilisiert und bietet einen sicheren Halt. Diese Schicht schützt auch die fragile Perlmutt-Schicht und verleiht dem Messer einen makellosen Glanz.

Die Damast klinge des Abalone-Messers zeichnet sich aus durch ein elegantes, rundes Strudelmuster. Dies verleiht dem Messer eine einzigartige und ansprechende Ästhetik.

  • Jeder Griff ist ein Unikat mit leuchtenden Farben.
  • Damast klinge mit strudelförmigem Muster
  • Goldenes und Silberne Inlays zur Stabilisierung.
  • Perfektes Schmuckstück für deine Küche
  • Langlebig und elegant.

Ein kulinarisches Vergnügen in Perfektion

Jedes Messer besticht durch extrem scharfe Klingen und perfekte Balance für eine angenehme Handhabung. Das Schneiden von Lebensmitteln wird zum Genuss.

Hingabe bis ins kleinste Detail

Jedes Detail wird sorgfältig von Hand geprüft, um Ihnen die höchste Qualität japanischer Messer zu gewährleisten.

Geschenk für höchste Ansprüche

Geliefert in einer hochwertigen Geschenkbox für geschützten und risikoarmen Versand. Perfekt verpackt für alle Kochbegeisterten als besonderes Geschenk.

Einzigartige Handwerkskunst

Jedes Messer ist das Ergebnis von außergewöhnlichem Können und Hingabe zum Handwerk. Jedes einzelne Messer ist ein Unikat.

 

Spezifikationen

Kollektion Abalone
Länge 315 mm
Klingenlänge 185 mm
Stärke 1,6 mm
Gewicht 169 Gramm
Härte 60-62° HRC 
Griff Epoxidharz mit Perlmuttplatten
Verpackung Magnetische Geschenkbox, Schwarz
Schleifwinkel 15°
Klinge 66 Lagen Damaskus Stahl mit VG-10 Edelstahlkern
Shipping Notes
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SKU: 42514696575

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4.7 ★★★★★
Based on 25 reviews
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Verified Purchase
Shannon
Port Orchard, 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
Battle Creek, 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
Pawtucket, 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
Carnegie, 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
Lexington, 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

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