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Description
14k Yellow Gold Polished Cut Out Flower PendantIntroducing our stunning '14k Yellow Gold Polished Cut Out Flower Pendant', a precious addition to any jewelry collection. Crafted from 14k yellow gold with a weight of 1. 44 grams, this pendant boasts a polished, flawless finish that gleams in the light. With a length and width of 24mm, it features a solid construction and a flat back profile. Casted with intricate details, a cut out flower design is the standout feature of this piece. While not
Introducing our stunning '14k Yellow Gold Polished Cut Out Flower Pendant', a precious addition to any jewelry collection. Crafted from 14k yellow gold with a weight of 1.44 grams, this pendant boasts a polished, flawless finish that gleams in the light. With a length and width of 24mm, it features a solid construction and a flat back profile. Casted with intricate details, a cut-out flower design is the standout feature of this piece. While not recommended for engraving, it is perfect for adding charm and character to any outfit. Sold by unit as a standalone pendant, this themed piece is perfect for pairing with your favorite chains. The bail width measures 2mm and length is 5mm, ensuring easy attachment to any necklace. Bring some sunshine to your jewelry collection with this gorgeous 14k Yellow Gold Polished Cut Out Flower Pendant.Precious Metal Type: 14k Yellow Gold
Weight: 1.44 GM
Material: Primary - Purity:14k
Finish:Polished
Length of Item:24 mm
Charm/Element Length:24 mm
Charm/Element Width:24 mm
Feature:Solid
Manufacturing Process:Casted
Material: Primary:Gold
Width of Item:24 mm
Engravable:Not Recommended
Product Type:Jewelry
Jewelry Type:Pendants & Charms
Sold By Unit:Each
Pendant/Charm Type:Themed
Profile Type:Flat Back
Bail Width:2 mm
Material: Primary - Color:Yellow
Bail Length:5 mm
Product ID: D4376
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4.4 ★★★★★
Based on 10 reviews
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Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
★★★★★ 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
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
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