rhinestone prom dress Sweetheart Long A-line Black Tulle Rhinestone Beaded Prom Dresses, PD0 – SofieBridal
SKU: 53009686602
rhinestone prom dress

rhinestone prom dress Sweetheart Long A-line Black Tulle Rhinestone Beaded Prom Dresses, PD0 – SofieBridal

$20.07 $22.30
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No.2 Bestseller on bertklapecinc.com >
Size: 4
Size Recommendation How To Measure

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Ships within 48 hours · Estimated delivery Jun 30 - Jul 5

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

rhinestone prom dress Sweetheart Long A-line Black Tulle Rhinestone Beaded Prom Dresses, PD0 – SofieBridalSweetheart Long A line Black Tulle Rhinestone Beaded Prom Dresses, PD0932 The dress is fully lined, 4 bones in the bodice, chest pad in the bust, lace up back or zipper back are all available, total 126 colors are available. This dress could be custom made, there are no extra cost to do custom size and color. Description of dress 1, Material: tulle,rhinestone,elastic silk like satin 2. Color: there are 126 colors are available, please contact us for

Sweetheart Long A-line Black Tulle Rhinestone Beaded Prom Dresses, PD0932

The dress is fully lined, 4 bones in the bodice, chest pad in the bust, lace up back or zipper back are all available, total 126 colors are available. 

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

Description of  dress
1, Material:tulle,rhinestone,elastic silk like satin

2.Color: there are 126 colors are available, please contact us for more colors, please ask for fabric swatch 

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: dress
Rush order: within 15 days, please add $30.00 From extra cost
Normal time: Within 25 days (From May to Dec)
Around 30 days (From Jan to April), it's busy season together with spring festival holiday, so produce time will be long.

5, Packing: in order to save your shipping cost, each dress will be packed tightly with water proof bag .

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

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

8, Return Policy:  dress
We will accept returns if dresses have quality problems, wrong delivery time, we also hold the right to refuse any unreasonable returns, such as wrong size you gave us or standard size which we made right, but we offer free modify.
Please see following for the list of quality issues that are fully refundable for:
Wrong Size, Wrong Colour, Wrong style, Damaged dress- 100% Refund or remake one or return 50% payment to you, you keep the dress.

In order for your return or exchange to be accepted, please carefully follow our guide:
1. Contact us within 2 days of receiving the dress (please let us know if you have some exceptional case in advance)
2. Provide us with photos of the dress, to show evidence of damage or bad quality, this also applies for the size, or incorrect style and colour etc.
3. The returned item must be in perfect condition (as new), you can try the dress on, but be sure not to stretch it or make any dirty marks, otherwise it will not be accepted.
4. The tracking number of the returned item must be provided together with the reference code issued.
5. If you prefer to exchange dresses, then a price difference will be charged if more expensive.
6. You are required to pay for the shipping fee to return or exchange the dress.
7. When you return the package to us, please pay attention to the following points, if not, customers should pay for the duty:
we put all of our energy and mind into each dress, each of our dress are full of love, our long experience and skilled craftsmanship keep less return rate till now, but if there are our problems, we could return all your payment, for more details, please see our FAQ.

9, 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.

Our advantage:
We do long time dresses for some famous brands, we also make dresses for designers in European and USA client, please trust us, our strong team could make sure each dress will be your dream dresses.

Sweetheart Long A-line Black Tulle Rhinestone Beaded Prom Dresses, PD0932

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: 53009686602

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4.9 ★★★★★
Based on 2361 reviews
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Verified Purchase
William P Ross
Belleville, 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
Pawtucket, 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
Lexington, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Omaha, 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
S
Verified Purchase
Stergios Papadimitriou
Louisville, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 25, 2018

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