long sleeve boho wedding dresses Queen Miriam | Queen Gowns
SKU: 37723774801
long sleeve boho wedding dresses

long sleeve boho wedding dresses Queen Miriam | Queen Gowns

$21.01 $23.34
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No.2 Bestseller on bionetnettoyage.com >
Size: 4
Size Recommendation How To Measure

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

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Description

long sleeve boho wedding dresses Queen Miriam | Queen GownsQueen Miriam was made to move hearts. What started as a one of a kind custom gown quickly became a forever favoritethis stunning silhouette, the unforgettable sleeves, that wow worthy lace train. Its no surprise shes one of our most loved designs. Romantic yet relaxed, bold yet timelessMiriam brings a soft boho spirit to a lightly structured fit that hugs in all the right places. Shown in: Ivory lace over Champagne lining Also available: Ivory lining

Queen Miriam was made to move hearts. What started as a one-of-a-kind custom gown quickly became a forever favorite—this stunning silhouette, the unforgettable sleeves, that wow-worthy lace train. It’s no surprise she’s one of our most loved designs.

Romantic yet relaxed, bold yet timeless—Miriam brings a soft-boho spirit to a lightly structured fit that hugs in all the right places.

✨ Shown in: Ivory lace over Champagne lining
✨ Also available: Ivory lining or Custom liner color
✨ Train: Lace-gathered chapel-length train

Please include your wedding date at checkout so we can plan accordingly. Since each gown is made to order, we always recommend ordering as early as you can to ensure availability and avoid any rush fees.

🧵 Crafted with Care

Queen Miriam is a lace-lover’s dream. Her trumpet silhouette flatters the figure, while her dramatic bell sleeves add movement, charm, and undeniable presence.

✨ All-over lace with gathered train detail
✨ Bell sleeves with boho soul
✨ Flattering V-neckline and low back
✨ Lightweight, soft lining for comfort beneath every gown

Like all of our gowns, Queen Miriam is handcrafted to order—each one made for the bride who chooses her.

⚡ Need It Sooner?

If your timeline is tight, we’ve got you. We offer rush production for most gowns. Just email us at [email protected] with your wedding date and gown name to check availability. We’ll always do our best to make it happen.

🏠 Try It On at Home

Not sure if it’s the one? Try it on at home—no pressure, just dreamy vibes and good lighting. We’ll send a sample gown so you can see it in person and fall in love at your own pace.

✨ Learn more about our Try-On Program here

🚚 Production + Delivery

Every gown is made to order and ships in 6–10 weeks depending on the design and customization.

📦 Estimated delivery dates are listed on each product page and updated daily.

📬 U.S. shipping takes 3–5 days via USPS.

✈️ Express international shipping is available (3–5 business days).

We recommend ordering at least 4–6 months before your wedding to allow time for delivery and any needed alterations.

📐 Sizing

We offer free custom sizing for every gown. Just send us your measurements using our guide, and we’ll create a gown made to fit your body.

We’re proud to offer Custom Plus Size at no extra cost. Just choose “Custom Plus Size” when selecting your size. Every gown is handmade to your measurements—because every bride deserves a perfect fit.

Not sure what size to order? We’re happy to help—just send your measurements and we’ll recommend the best fit.

Bridal sizing can be very different from everyday clothing—don’t worry if the number surprises you! We’re here to make it easy.

📏 View the full sizing + measuring guide here

🔁 Returns & Exchanges

✨ Returns: Standard-size gowns may be returned with a 30% restocking fee. Contact us at [email protected] within 24 hours of receiving your dress. The gown must be dropped off at the post office by the next business day and returned in perfect condition.

🔄 Exchanges: We offer one free exchange per bride (same 24-hour/next-day timeline). If we need to create a new gown, production may take up to 3 months.

❌ Cancellations: Because all gowns are made to order, cancellations are not accepted. Try-on orders are also final once placed.

Note: Only one return or exchange is allowed per customer, even on multi-gown orders.

📎 Refund, Exchange & Shipping Policy

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: 37723774801

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4.9 ★★★★★
Based on 682 reviews
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William P Ross
Lowell, 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
Charlottesville, 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
Belleville, 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
M
Verified Purchase
mackster
Louisville, 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
Massapequa, 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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