SKU: 69471294573

Mesko MS 6022 Brotbackautomat 15 Programme 750–1250 g Schwarz

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Description

Mesko MS 6022 Brotbackautomat 15 Programme 750–1250 g SchwarzMesko MS 6022 Brotmaschine 15 Programme Der Brotbackautomat Mesko MS 6022 ist Ihre Alternative zu im Handel erhltlichem Brot. Wenn Sie den Geschmack von echtem Brot vermissen oder eine Zubereitung aus hochwertigen Zutaten wnschen, knnen Sie es bequem zu Hause backen. Mit dem Brotbackautomaten MS 6022 knnen Sie aus 15 Teigzubereitungs und Backmodi whlen. Ganz gleich, ob Sie ein Vollkornbrot backen, eine kstliche Marmelade zubereiten oder ein leichtes

Mesko MS 6022 Brotmaschine – 15 Programme

Der Brotbackautomat Mesko MS 6022 ist Ihre Alternative zu im Handel erhältlichem Brot. Wenn Sie den Geschmack von echtem Brot vermissen oder eine Zubereitung aus hochwertigen Zutaten wünschen, können Sie es bequem zu Hause backen.

Mit dem Brotbackautomaten MS 6022 können Sie aus 15 Teigzubereitungs- und Backmodi wählen. Ganz gleich, ob Sie ein Vollkornbrot backen, eine köstliche Marmelade zubereiten oder ein leichtes französisches Brot zubereiten möchten, Sie werden immer feststellen, dass es keine Probleme bereitet. Genießen Sie den Geschmack frisch gebackener Produkte, bei denen Sie über alle Zutaten auf dem Tisch Ihrer Familie entscheiden.

Ich glaube nicht, dass irgendjemand von der geschmacklichen Überlegenheit von selbstgebackenem Brot gegenüber Brot aus dem Laden überzeugt werden muss. Bei der Zubereitung von Backwaren zu Hause kontrollieren wir deren Größe, Zusammensetzung und Backgrad. Schätzen Sie den Duft von Brot, der sich beim Backen in Ihrem Haus ausbreitet? Lieben Sie den Geschmack einer noch warmen Scheibe mit schmelzender Butter? Wir empfehlen Ihnen den Brotbackautomaten MESKO 6022, mit dem Sie in wenigen Augenblicken aromatisches Brot für die ganze Familie zubereiten können!

Eine interessante Lösung für Fans gesunder Ernährung!

Der Brotbackautomat ist mit zwei Mixern ausgestattet, die eine genaue Vermischung der Zutaten gewährleisten. Zahlreiche Annehmlichkeiten machen die Nutzung dieses Geräts zum Vergnügen! Sie können die Größe des Laibs (von 1000 bis 1500 g) und die Farbe der Kruste, also den Bräunungsgrad des Brotes, wählen. Im Inneren befindet sich eine herausnehmbare Form, die mit einer Schicht bedeckt ist, die das Herausnehmen des bereits gebackenen Laibs erleichtert. Zusätzliche Funktionen wie Temperaturerhaltung oder Startverzögerung ermöglichen Ihnen die Steuerung des Backvorgangs. Im Deckel befindet sich ein Fenster, durch das Sie den Backvorgang beobachten können. Darüber hinaus verfügt das Gerät über ein LCD-Display und gut zugängliche Tasten, sodass die Bedienung des Geräts wirklich intuitiv ist!

Bis zu 15 Programme zum Brotbacken und Zubereiten anderer Produkte!

Ein großer Vorteil dieses Brotbackautomatenmodells ist die große Anzahl nutzbarer Programme. Dadurch kann jeder Benutzer die Brotsorte, die Zubereitungsart und die Backzeit an seine eigenen Vorlieben anpassen. Wir können aus folgenden Programmen wählen: Basic (traditionelles Brot backen), French (leichtes Brot), Vollkorn (Roggen- oder Vollkornmehl), Sweet (Brot mit Zusätzen wie Rosinen oder Schokolade), Milch und Butter (Challah, Brioche). ), glutenfrei (Brot aus Reis-, Süßkartoffel-, Mais- oder Hafermehl), superschnell (verkürzt die Zeit der Vorbereitungsphase), Kneten des Teigs (Teig mit Zusatz von Natron oder Backpulver), Kneten (Einstellen der Zeit selbst), Kneten des Teigs (kein Backen, Teig kann zur Zubereitung von Brötchen oder Pizza verwendet werden), Nudelteig, Fermentieren von Joghurt, Zubereiten von Konserven (Marmelade kochen), Backen (zusätzliches Backen) und selbstgemacht (manuelle Anpassung jeder Phase des Brotes). Vorbereitung).

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SKU: 69471294573

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4.4 ★★★★★
Based on 25 reviews
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Shannon
Charlottesville, 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!!
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Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Alexandria, 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.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
New York, 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
A
Verified Purchase
Amazon Customer
Chelsea, 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!!
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Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Draper, 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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