SKU: 17071074368
backless maxi dress

backless maxi dress MALI Open Back Maxi Dress in Red - Summer maxi Dress | Resort Wear

Sale price$21.29 Regular price$23.66
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Size: 4

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Ships within 48 hours · Estimated delivery Jul 14 - Jul 19

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For Your Every Summer RSVP, with Code: SUMMER15

Description

backless maxi dress MALI Open Back Maxi Dress in Red - Summer maxi Dress | Resort WearYou won't go wrong with a hand dyed maxi dress in the warmer months. Whether home or away this MALI Backless Maxi Dress will keep you stylish and comfortable. Mali Dress is a handmade hand dyed backless maxi dress with tie shoulders, ruffle hem, pockets, and a loose flowy fit made for warm days, vacation nights, and easy resort dressing. Each piece is hand dyed, so slight variation in color and pattern is part of its one of a kind beauty. Why youll

You won't go wrong with a hand dyed maxi dress in the warmer months. Whether home or away this MALI - Backless Maxi Dress will keep you stylish and comfortable.

Mali Dress is a handmade hand-dyed backless maxi dress with tie shoulders, ruffle hem, pockets, and a loose flowy fit made for warm days, vacation nights, and easy resort dressing.

Each piece is hand dyed, so slight variation in color and pattern is part of its one-of-a-kind beauty.

Why you’ll love it

• Hand dyed maxi dress
• Backless silhouette with tie shoulders
• Soft ruffle hem
• Pockets
• Lightweight 100% rayon
• Flowy oversized fit
• Handmade in Thailand

Size + fit

One size
Best fits S–XL / US 4–14

Body guide (in inches):
Bust 30–50"
Waist 24–50"
Hips free
Best for height 5'3" and up

Length: 54–56" adjustable

Model info:

Model I is 178cm/5'8 ft tall,S size 2

Model II is 160cm/5’2ft tall, XS or size 0

Mode lIII is 166cm/5’4ft tall, 2XL or size 22

Fit note:
This dress is designed to be loose, flowy, and oversized. Great if you love an easy drape. Less ideal if you prefer a fitted look.

Fabric

100% soft rayon
Lightweight and breathable
No lining

Some customers may find the fabric slightly sheer, so a slip can be worn underneath if desired.

Perfect for

• Resort wear
• Vacation outfits
• Beach dinners
• Summer travel
• Poolside lounging

Care

Hand wash cold first few washes
Then machine wash cold on gentle
Tumble dry low or hang to dry

If you’re unsure about fit, message us first.

    Size + Fit

     

    * This oversized fit is a must-have for your wardrobe! But if you're petite or prefer a more fitted look, it might not be the right fit for you. Try it on first and see how it flows!

     Chest & Hip 
    Free size to fit bust 30-50”, waist 24-50”,
    Length  ~ 56  inches
    Material 100% soft Rayon
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      SKU: 17071074368

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      4.5 ★★★★★
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      Zygerian99
      Grantham, 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
      Birmingham, 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
      W
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      William P Ross
      Cuba, 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
      Phoenix, 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
      West Palm Beach, 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!!
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      Reviewed in the United States on July 14, 2017

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