SKU: 42881671300
emerald green sequin prom dress

emerald green sequin prom dress Mermaid Green Sequin V-neck Long Evening Prom Dresses, Cheap Custom Pr – MarryLover

$23.31 $25.90
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Shipping Estimate
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Ships within 48 hours · Estimated delivery Aug 21 - Aug 26

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

emerald green sequin prom dress Mermaid Green Sequin V-neck Long Evening Prom Dresses, Cheap Custom Pr – MarryLoverMermaid Green Sequin V neck Long Evening Prom Dresses, Cheap Custom Prom Dresses, MR7801 This dress could be custom made, there are no extra cost to do custom size and color. Description of dress 1, Material: sequin, elastic like silk . 2, Color: picture color or other colors, there are 126 colors are available, please contact us for more colors. 3, Size: standard size or custom size, if dress is custom made, we need to size as following bust______ cm

Mermaid Green Sequin V-neck Long Evening Prom Dresses, Cheap Custom Prom Dresses, MR7801

This  dress could be custom made, there are no extra cost to do custom size and color.

Description of  dress

1, Material: sequin, elastic like silk .

2, Color: picture color or other colors, there are 126 colors are available, please contact us for more colors.

3, Size: standard size or custom size, if dress is custom made, we need to size as following 
bust______ cm/inch 
waist______cm/inch 
hip:_______cm/inch 
shoulder to shoulder :_______cm/inch (measured from back of shoulder) 
shoulder to bust :_______cm/inch (measured from middle shoulder to nipple) 
shoulder to waist :_______cm/inch (measured from middle of shoulder to natural waist) 
shoulder to hem :_______cm/inch (measured from middle of shoulder over nipple to end of skirt) 
nipple to nipple:_______cm/inch 
armhole__________cm/inch (end of arm)

4, Delivery time: 
Rush order: within 20 days, please add $30.00.
Normal time: Within 30 days (From May to Dec) 
Around 35 days (From Jan to April), it's busy season together with spring festival holiday, so produce time will be long.

5, Shipping: by UPS or DHL or some special airline.

6, Payment: Paypal, bank transfer, western union, money gram and so on.

7, Return Policy:  Please check Return Policy

8, Custom taxes 

Except Unite States, most buyers need to pay customs taxes, in order to save cost for you, we have marked around $30-40.00 on the invoice, then you just pay less taxes, please note that it's express help customs collect this payment, it is not shipping cost, as shipping cost has already paid before sending.

Mermaid Green Sequin V-neck Long Evening Prom Dresses, Cheap Custom Prom Dresses, MR7801

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 42881671300

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4.0 ★★★★★
Based on 24 reviews
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Verified Purchase
Amazon Customer
Belleville, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024
M
Verified Purchase
MrGee
Louisville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
R
Verified Purchase
R. Cote
Alexandria, 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
R
Verified Purchase
Rafael Azevedo Souza Costa
Alexandria, US
★★★★★ 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
T
Verified Purchase
Thomas
Birmingham, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024

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