SKU: 14737119982

vitakruid magnesium l threonaat

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Description

vitakruid magnesium l threonaatVitakruid Magnesium L Threonat ist ein fortschrittliches Magnesiumprparat, das speziell zur Untersttzung Ihres Gehirns und Nervensystems entwickelt wurde. Die einzigartige Formel enthlt Magtein, eine patentierte Form von Magnesium, die an L Threonsure gebunden ist. Dank dieser speziellen Bindung kann Magnesium die Blut Hirn Schranke berwinden und wird so auch im Gehirngewebe verfgbar. Ideal, wenn Sie Ihr Gedchtnis, Ihre Konzentration und Ihre geistige

Vitakruid Magnesium L-Threonat ist ein fortschrittliches Magnesiumpräparat, das speziell zur Unterstützung Ihres Gehirns und Nervensystems entwickelt wurde. Die einzigartige Formel enthält Magtein®, eine patentierte Form von Magnesium, die an L-Threonsäure gebunden ist. Dank dieser speziellen Bindung kann Magnesium die Blut-Hirn-Schranke überwinden und wird so auch im Gehirngewebe verfügbar. Ideal, wenn Sie Ihr Gedächtnis, Ihre Konzentration und Ihre geistige Schärfe unterstützen möchten. So geben Sie Ihrem Körper und Gehirn einen intelligenten täglichen Schub!

 

Was sind die wichtigsten Merkmale von Vitakruid Magnesium L-Threonat?

Vitakruid Magnesium L-Threonat ist eine intelligente Wahl, wenn Sie nach einer hochwertigen Magnesiumform zur mentalen Unterstützung suchen. Das macht das Ergänzungsmittel so besonders:

  • Magtein® Magnesium

  • Unterstützt das Gedächtnis

  • Gut für die Konzentration

  • Überwindet die Blut-Hirn-Schranke

  • 147 mg Magnesium pro Dosis

  • Vegane Kapseln

  • Gluten- und GMO-frei

Die Formel enthält das patentierte Magtein® Magnesium L-Threonat, entwickelt von Wissenschaftlern unter anderem vom MIT und der Stanford University. Diese Form ist bekannt für ihre hohe Bioverfügbarkeit und die Fähigkeit, Magnesium im Gehirn- und Nervengewebe verfügbar zu machen.


Wie verwende ich Vitakruid Magnesium L-Threonat?

Die Vitakruid Magnesium L-Threonat Kapseln sind einfach in Ihre tägliche Routine zu integrieren.

So verwenden Sie das Ergänzungsmittel:

  • Nehmen Sie 3 Kapseln pro Tag.
  • Schlucken Sie die Kapseln mit ausreichend Wasser.
  • Nehmen Sie sie vorzugsweise während oder nach einer Mahlzeit ein.
  • Halten Sie sich immer an die empfohlene Dosierung.

Dieses Ergänzungsmittel ist nicht geeignet für Kinder, schwangere Frauen oder stillende Frauen.



Was genau ist Magnesium L-Threonat? 

Magnesium L-Threonat ist eine spezielle Form von Magnesium, die besonders gut von Ihrem Körper aufgenommen wird. Das Besondere an dieser Form ist, dass sie auch Ihr Gehirn erreichen kann. Dadurch unterstützt es nicht nur Ihre Muskeln und Nerven, sondern auch Ihr Gedächtnis und Ihre Konzentration. Magnesium L-Threonat wird daher oft von Menschen verwendet, die ihre Konzentration und geistige Schärfe unterstützen möchten. In vielen Ergänzungsmitteln wird hierfür der patentierte Inhaltsstoff Magtein® verwendet. So erhält Ihr Gehirn genau die zusätzliche Unterstützung.



Aus welchen Inhaltsstoffen besteht Vitakruid Magnesium L-Threonat?

Magnesium-L-Threonat (Magtein), HPMC (Kapsel), mikrokristalline Cellulose (Füllstoff).



Möchten Sie mehr über Vitakruid Magnesium L-Threonat erfahren?

Haben Sie eine Frage zu einem der Produkte? Senden Sie eine E-Mail an [email protected] und Sie erhalten so schnell wie möglich eine Antwort. Möchten Sie lieber anrufen? Wir sind telefonisch während der Bürozeiten erreichbar.

PS: Wussten Sie, dass Sie ab einem Bestellwert von 40 € von kostenlosem Versand profitieren? Viel Spaß beim Einkaufen! ♡

 

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SKU: 14737119982

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4.0 ★★★★★
Based on 25 reviews
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Shannon
Omaha, 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
Port Orchard, 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
Lake Worth, 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
Louisville, 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
Carnegie, 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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