SKU: 54274091759
satin emerald green dress

satin emerald green dress Emerald green infinity long slit dress

Sale price$25.70 Regular price$28.55
Save 10%

Pay in installments of $7.14 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Oct 1 - Oct 6

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

satin emerald green dress Emerald green infinity long slit dressInfinity dress is the elegant dress suitable for every occasion. Adjustable straps and bias cut slip beautifully against the body, inspiring a feminine silhouette. Cut from lustrous bias cut fabric. Whether youre petite, curvy, straight or tall a dress flatters every figure and every size designed for a slim but relaxed fit. Straps can be tied in more than ten different ways to create a variety of looks. Instead of buying a new dress for every event,

Infinity dress is the elegant dress suitable for every occasion. Adjustable straps and bias-cut slip beautifully against the body, inspiring a feminine silhouette. Cut from lustrous bias-cut fabric. Whether you’re petite, curvy, straight or tall a dress flatters every figure and every size designed for a slim but relaxed fit. Straps can be tied in more than ten different ways to create a variety of looks.  Instead of buying a new dress for every event, you'll find yourself reaching for this one again and again. Transforming a dress to suit your personal style and needs has never been easier!

The sizing forgives plus-minus one-two size and fabric is stretchy.

Model's height is 5'9" (175 cm) / Size US 6 / M

ADJUSTMENTS 
We can make any length adjustments special for you!

To avoid common mistakes with the size mismatch it is very important to check our sizing chart and to give us your measurements so we can double check it for you.
To help you we need to know your bust, waist, hips and height.
 
Dress style
- Infinity maxi slit dress

Details 
- Fully Lined
- Highly elastic waist and ties can be cinched in at waist as tight or loose fitting as you need 
- Can be worn in unlimited ways
- Skirt cut on the bias for a flattering shape
- Skirt length - 48 inches
- Designed to gracefully float down the body

Material
- Stretch silk satin
- Our fabric is incredibly soft and falls beautifully against the body

Care
- Machine washable, cold wash, cold hand wash, dry cleanable

You can buy matching bandeau top. 

Please note that the color tones sometimes change a bit between different bolts of fabric. Please let me know if you are placing a number of different orders if you would like to match perfectly.

Very important!
Please, keep in mind that it is very important to use our sizing guide or tell us about adjustments to us directly.
Other brands can use their own sizing options that could be not as the same as ours.

If you have any questions, please contact me and I'll gladly help you.


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: 54274091759

Discover Niche Categories That Outsell satin emerald green dress

Top-Converting Item to Boost Your Average Order

4.6 ★★★★★
Based on 17 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
A
Verified Purchase
Amazon Customer
Houston, 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
Pawtucket, 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
Lowell, 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
S
Verified Purchase
Sabrina
Pawtucket, US
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected. The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading. If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 23, 2026
A
Verified Purchase
Aayan
Waukegan, US
★★★★★ 5
This is the best purchase I’ve made in 2025!
Format: Paperback, Format: Paperback
I don’t even know where to start ever since I finished (in early August, 2025) the whole series of this comic. I have never been this much speechless in my life. It’s my first comic that I’ve ever read and finished it. I got into invincible through the TV show and I wanted to give a shot on comics because people said it’s even better than the show, and I was blown away just by the tv show until I started reading this. It didn’t matter how tired I would be and/or how busy I would be, but I’d still make time to grab and read at least some pages very excited. There are so many parts in this comics where it reflected on my personal life and somewhat opened my eyes of what I had and need to do in my life. It was really fun, exciting, loving, caring, sad and emotional story. This comic has a definitive beginning and a final, conclusive ending. I loved it overall despite where there were some boring parts, but it all made sense later in the main story. Very well developed characters, stories and art. Now whenever I pass by my bookshelf and I see these books puts big fat huge smile on my face. I’m glad I have it in my collection. I got to experience in this comic what I couldn’t in real life. Every other night in random or toughest moment I would think about what would mark do in this situation. Thank you for this masterpiece ❤️
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 18, 2025

recommand products