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Description
satin dress long Long Satin Evening Dress by LaDivine CD7487A sleek silhouette defines the long satin evening dress by LaDivine CD7487, an evening gown built around precise shaping and flowing contours. Crafted in premium satin, it carries a gentle drape at the neck, soft, slightly gathered, giving the upper half ease without losing beauty. Without sleeves, the shoulders stay bare, held by slender straps you can alter, so the hold feels just right. Each detail stays true to balance: firm where needed, loose
A sleek silhouette defines the long satin evening dress by LaDivine CD7487, an evening gown built around precise shaping and flowing contours. Crafted in premium satin, it carries a gentle drape at the neck, soft, slightly gathered, giving the upper half ease without losing beauty. Without sleeves, the shoulders stay bare, held by slender straps you can alter, so the hold feels just right. Each detail stays true to balance: firm where needed, loose where it matters.
Starting at the lower back, an open section brings lightness, balanced by fabric flowing down one side, knotted gently up top. Shaping closely from hip to hem, the dress moves with you, its long tail brushing just behind. Suitable for nights where dressing up matters think celebrations, ceremonies, or slow-dancing under dim lights.
Key Features:
- Soft Cowl Neckline: Offers a fluid, draped appearance that provides a modern frame for the upper body.
- Adjustable Spaghetti Straps: Ensures a precise fit and reliable support for the fitted bodice.
- Back Sash & Bow Detail: Features a functional fabric tie that adds a structured focal point to the back design.
- Sheath Silhouette with Sweep Train: Contours the figure and ends in a trailing hem for a formal, polished finish.
- Smooth Satin Fabric: Delivers a consistent, reflective sheen that enhances the soft color palette.
Available Colors:
Dusty Rose, French Navy, Lavender, Sage
Perfect for Special Occasions!
A solid selection for bridesmaids, prom night, and formal dances where a combination of a fitted silhouette and adjustable, structured details is preferred.
Details:
- Silhouette & Fit: Fitted Sheath
- Length: Full Length with Sweep Train
- Fabric: Satin
- Sleeve Style: Adjustable Spaghetti Strap
- Back Style: Mid-Open with Tie Sash
- Structure: Fully lined
- Sizes: 4, 6, 8, 10, 12, 14, 16, 18
- Vendor: LaDivine
- Style: CD7487
- Occasion: Prom, Formal Events, Homecoming, Bridesmaid
Maintenance & Care:
- Professional Cleaning: Seek dry cleaning only to maintain the satin’s finish and the drape of the cowl neckline.
- Proper Hanging: Use the internal hanging loops to support the gown’s weight; do not rely on the adjustable straps alone to prevent stretching.
- Gentle Steaming: Refresh the fabric with a low-heat garment steamer from the inside out; avoid direct iron contact to protect the satin fibers.
- Safe Storage: Keep in a breathable garment bag to protect the sash and train from dust or accidental snags.
Shipping Information:
- Most orders are prepared and dispatched within 2–3 business days.
- Delivery typically takes between 2 and 7 business days, depending on your location.
- A tracking number will be sent to you as soon as your package leaves the warehouse.
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Exchange/Return Notes
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- Final sale items are not eligible for returns or exchanges.
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4.1 ★★★★★
Based on 1763 reviews
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Product Reviews
★★★★★ 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.
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Reviewed in the United States on March 15, 2017
★★★★★ 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
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on May 15, 2018
★★★★★ 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.
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Reviewed in the United States on August 25, 2018
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