SKU: 74550786761

Vegvisir Pendant With Trinity Knots

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Description

Vegvisir Pendant With Trinity KnotsVegvisir Pendant With Trinity Knots The Vegvisir, also known as the runic compass or the Viking compass made of eight Viking rune staves, is a symbol of protection and guidance believed to be used as a compass by Vikings. The word Vegvisir means Wayfinder and signpost The Trinity knot According to the Celts, the most important things in the world came in threes; three domains (earth, sea, and sky), three elements, three stages of life, etc. It is also

Vegvisir Pendant With Trinity Knots

The Vegvisir, also known as the runic compass or the Viking compass made of eight Viking rune staves, is a symbol of protection and guidance believed to be used as a compass by Vikings. The word Vegvisir means ‘Wayfinder’ and ‘signpost

The Trinity knot According to the Celts, the most important things in the world came in threes; three domains (earth, sea, and sky), three elements, three stages of life, etc. It is also possible that the Triquetra signified the lunar and solar phases. During excavations of various archaeological sites from the Celtic era, a number of Trinity knot symbols have been found alongside solar and lunar symbols.

Product Details:

  • Made from high-quality 316L Stainless Steel, will not rust or tarnish.
  • Comes in a length of 60cm (24 inches)
  • Free leather pouch included! 

 

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SKU: 74550786761

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4.7 ★★★★★
Based on 17 reviews
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MrGee
Birmingham, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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Verified Purchase
R. Cote
Whiting, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
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Verified Purchase
Rafael Azevedo Souza Costa
New York, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Bozeman, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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Verified Purchase
La Monte HP Yarroll
West Palm Beach, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025

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