SKU: 35406923834
baby blue baby shower dress

baby blue baby shower dress Shop Blue Maternity Dress, Formal Dress, Maternity Photoshoot Dress, Baby Shower Dress, Boudoir Gown for Photoshoot, Tulle Maxi Dress,Long Sleeve -

$25.66 $28.51
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Ships within 48 hours · Estimated delivery Oct 13 - Oct 18

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Description

baby blue baby shower dress Shop Blue Maternity Dress, Formal Dress, Maternity Photoshoot Dress, Baby Shower Dress, Boudoir Gown for Photoshoot, Tulle Maxi Dress,Long Sleeve -Blue Maternity Dress, Formal Dress, Maternity Photoshoot Dress Lace Maternity Boudoir Gown for Photo Shoot made of soft tulle and embroidery on tulle. Dress has long sleeves, is floor length and has V neckline. Dress is adjustable Can be used as baby shower dress if you add linen on checkout in the options below size variations. Dress can be also tailored with long 60 inches train and lace appliques on skirt, you can select this option on checkout in

Blue Maternity Dress, Formal Dress, Maternity Photoshoot Dress

Lace Maternity Boudoir Gown for Photo Shoot made of soft tulle and embroidery on tulle. Dress has long sleeves, is floor length and has V neckline. Dress is adjustable
Can be used as baby shower dress if you add linen on checkout in the options below size variations.

Dress can be also tailored with long 60 inches train and lace appliques on skirt, you can select this option on checkout in the variations below the size.

Materials: embroidery on tulle; soft tulle; silk linen (if selected)

!!!Please note that as default dress is not lined and is floor length. You can choose additional options such as linen and train.

Dress is available in different colors. Contact me about color you wish. Additional cost in other color may be applied

Dress is fully handmade, so some details can be different from those you see on photo. As each dress is unique.

Standart sizes:
XS
Bust 85 - 90cm/ 33 - 35 inches
Underbust 70-75cm/ 27-30 inches
Hips 90-95 cm /35-37 inches

S
Bust 91 - 96cm/ 35 - 37 inches
Underbust 76-81cm/ 30-32 inches
Hips 96-101 cm /37 -39 inches

M size:
Bust 97-102cm/ 38-40 inches
Underbust 82-87 cm/ 32-34inches
Hips 102-107 cm/ 40-42 inches

L size
Bust 103-108 cm /40.5 -42.5inches
Underbust 88-93 cm/ 35-37 inches
Hips 108 - 113 cm/ 42.5 - 44.5 inches

XL size
Bust 109-114 cm/ 43-45inches
Underbust 94-99 cm/ 37-39 inches
Hips 114 - 119 cm/ 45-47 inches

After payment is received dress will be ready to ship in 10 - 14 business days.

Other maternity gowns can be found here: https://www.etsy.com/shop/MatchingLook?section_id=20879242

I provide worldwide shipping. All items are shipped with registered mail (terms are stated not guaranteed)
Europe - 5-10 business days
Rest of the world - 6 - 14 business days

UPS express - 2-3 days delivery for additional fee.

Please read carefully policies of my shop before purchasing. If you have any questions just contact me and I will be happy to answer all the questions.

Custom orders are welcome.

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]
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SKU: 35406923834

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4.3 ★★★★★
Based on 15 reviews
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Verified Purchase
William P Ross
Whiting, 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
Battle Creek, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Grantham, 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
Port Orchard, 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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