SKU: 62134164173

Gold Nugget Men's Ring "Orocal" RM883NSS Genuine Hand Crafted Jewelry

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Description

Gold Nugget Men's Ring "Orocal" RM883NSS Genuine Hand Crafted JewelryGold Nugget Ring "Orocal" RM883NSS Sterling Silver Genuine Hand Crafted Jewelry One of a Kind Approx. Total weight = 7. 82G " If this is not in Stock our Jeweler will make it in 4 6 weeks" Specs and Dimensions: Length Width Nugget Size 11. 5 R stands for Ring L for Ladies, M Stands for Men and Q stands for the Quartz E Stands for Earrings, and P stands for Pendants. Diamonds are G color High Quality Diamonds. SS stand for Sterling silver which is an

Gold Nugget Ring "Orocal" RM883NSS Sterling Silver Genuine Hand Crafted Jewelry - One of a Kind - Approx. Total weight = 7.82G

" If this is not in Stock our Jeweler will make it in 4-6 weeks"

Specs and Dimensions: Length/Width

Nugget Size-

- 11.5

R stands for Ring L for Ladies, M Stands for Men and Q stands for the Quartz / E Stands for Earrings, and P stands for Pendants. Diamonds are G color High Quality Diamonds.

SS stand for - Sterling silver which is an alloy of silver containing 92.5% by weight of silver and 7.5% by weight of other metals, usually copper. The sterling silver standard has a minimum millesimal fineness of 925.

With This Stunning Gold Nugget Ring you will receive a certificate of authenticity each of these Nuggets or Quartz. Are Gold Quartz is hand cut to fit the design, then we use 6 different wheels to produce the shine. Each nugget is Inlaid in like a puzzle Solder in by the Jeweler. The Casting is 14K Yellow Gold.

ATTENTION:

Attention: " You Will Receive A Similar Piece " All My Specials I picture 1 time and They are Pre Made and Built by the Master Jewelers at Orocal Manufacture the #1 Natural Gold Company In the World. The Reason why I do this is to keep the Cost Low By Only Picturing this Item 1 Time I can keep restocking. If you have any questions or concerns about this process feel free to contact me. Check out the Gold Quartz Guide Below to learn more about this rare beautiful stone. Message us if you request a specific size before shipping, Or add it in the notes at check out. Gold Quartz is a durable stone in fact it is a 7 out of 10 on the Hardness scale. All jewelry is backed by the Manufacturer. All chains that come with piece are free with purchase and gold plated for display only , we do not provide 14k chains.

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Gold Quartz Guide:

What is it? Millions of years ago, gold was formed in quartsz deposits by hydro-thermal pressure, deep within the earth. Gold remaining in these deposits is called Gold Bearing Quartz or Gold Quartz for short. It is extremely rare, accounting for less than 1/20th of 1% of all gold found annually.

Where is it Found? Gold Quartz is found in underground hard rock mines in the same areas where gold nuggets are found. In Alaska, it was first discovered in 1880 in the town Juneau. Regions of Canada, California, and Australia are also well known for Gold Quartz.

Grading: Like other precious gemstones, Gold Quartz comes in different grades. Orocal is well know for having the highest quality authentic Gold Quartz with spectacular patterns of Gold. We grade the quartz on a few different factors being how white the stone is. The brightness of the white increases the value along with the vein of gold. The actual pattern and placement of the exquisite gold vein. In fact that vein is very pure around 23% purity.

Authenticity: Some Stores sell man-made imitation gold quartz which is fragile and frail. This leads consumers to believe its natural when it clearly is not. When buying from me you know its authentic coming directly from Orocal the source. We offer offers a 110% money back Guarantee card which is called are certificate of Authenticity.

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GOLD NUGGET GUIDE :

What is a Natural Gold Nugget? It is a piece of gold that broke out of quartz deposits within the earth when erosion took place. It also goes by the name Placer Gold and each piece is a one of a kind with no two being exactly alike.

· Where can they be found? Wherever the effects of erosion took place. That would include rivers, streams, ancient dried up river channels and underground riverbeds.

· How pure are they? Gold nuggets range from 65 to 95 fine 16-23KT gold and can have other mineral content such as silver and copper mixed in with it.

· What sizes do they come in? Gold Nuggets come in all sizes, the smaller one range in sizes from 1 millimeter up to 6 and is often referred to as flakes. Bigger flakes are called nuggets and have been found as large as 2500 ounces although almost all nuggets bigger than 300 ounces were melted.

· How Are Natural Gold Nuggets found? They can be found in rivers and streams using a gold pan or suction dredges that act like an underground vacuum cleaner. Larger operations use large machinery that dig up huge sections of dirt weighing several tons and run it through machines that separate the gold from the dirt. Nuggets are also found using a metal detector.

· How are they weighed? They are weighed by the troy ounces. 12 ounces = one pound which differs from weight which is 16 ounces to the pound. The troy ounces are broke up into 20-penny weight to the ounces and use the symbol DWT or by the grams which has 31.1 to the ounces. The larger the nugget the more rare and valuable they are. A one-ounce nugget is now considered as rare as a five-carat diamond. (How many of those do you own?)

· Why are some real bright and others dull? Because it was formed underground in quartz deposit you often find quartz mixed in with it. When they broke off into the rivers and streams they tumbled against the sand and gravel, which gave the nuggets, it?s texture but dulled it. They can be cleaned in different solutions, and then tumbled in different media to give it the shine.

· What do we mean by My Authentic Natural Gold Nuggets under 4 grams come from two main sources. One is located near Dawson in the Yukon Territory. The second is Atlin, BC Canada about 50 miles as the crow flies from Skagway, Alaska. Skagway was where the miners of the 1898 Klondike gold rush traveled through to reach the gold fields. This is the reason I describe them as Alaskan Yukon BC Nuggets., Genuine, Natural Gold Nuggets

Not all Gold nuggets are natural, some people man-make them by taking smaller gold flakes melting them and casting them into the shape of a nugget. Make sure to ask if they are genuine natural gold nuggets as found by the miners and come with a certificate of authenticity.

* All Nuggets are Pictured or Partially Pictured with a U.S. Quarter to give you an idea of Size Proportion

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Karat Definition and Guide:

The karat system is used to measure the amount of pure gold found in solid gold jewelry. In the US, numbers are associated with the percentage of pure gold in a piece.

Solid Gold vs. Pure Gold

The phrase "solid gold jewelry" is a misnomer because, most times, this jewelry is not made up of solid gold. This term references jewelry that has a gold alloy throughout the entire piece.

On the other hand, the phrase "pure gold jewelry" is used to describe jewelry that is made up entirely of gold with little to no alloys present.

How a Gold Alloy is Formed

A portion of the gold is mixed with different alloys or metals, which creates a specific formula. Each gold color, like white gold or rose gold, uses a different combination of alloys.

Karat Used in Costume Jewelry

The term karat is also used on gold filled and gold plated jewelry. Even though these pieces are not solid gold, the gold portion of the jewelry has a certain percentage of pure gold designated through karats.

Expert Tip: If your piece of jewelry is marked 14KGF or 10KGF, that is a common indication that the item is gold filled and is not solid gold. However, the marking 14KP or 14KP does not necessarily mean gold plated. It also can stand for 14K gold plumb, which is solid gold.

If your piece of jewelry has a P in the marking, be sure to have the gold tested.

Ranges of Karat Values

  • 24 karat (24K) gold is pure gold.
  • 18 karat (18K) gold contains 18 parts gold and 6 parts another metal or metals, making it 75% gold.
  • 14 karat (14K) gold contains 14 parts gold and 10 parts another metal or metals, making it 58.3% gold.
  • 10 karat (10K) gold contains 10 parts gold and 14 parts another metal or metals, making it 41.7% gold. 10k gold is the minimum karat designation that can still be called gold in the US.

These values are primarily used on gold from the Unites States. You will see a lot of 22k gold and 9k gold in other countries. Gold jewelry from other countries may have an entirely different set of gold markings they use.

Karat vs. Carat

The term carat, spelled with a "c," is often confused with the term karat. They are both pronounced the same, but carat refers to the weight of a gemstone. You could have a 1.5 carat diamond set in an 18 karat gold setting.

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SKU: 62134164173

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Phoenix, US
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier. Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas. However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon). As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful. Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics). I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book. In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017
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Zygerian99
Omaha, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
Cuba, 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
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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.
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Reviewed in the United States on March 15, 2017
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Adam
Lexington, 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

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