spring dress for girls Birthday girl party dress red Baby girl spring dress satin Toddler gir – Colibri Fashion Studio
SKU: 88198113022
spring dress for girls

spring dress for girls Birthday girl party dress red Baby girl spring dress satin Toddler gir – Colibri Fashion Studio

$18.47 $20.52
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No.2 Bestseller on proyectomirador.org >
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

spring dress for girls Birthday girl party dress red Baby girl spring dress satin Toddler gir – Colibri Fashion Studio10% SALE FOR THE FIRST ORDER This dress is perfect for birthday, wedding, first communion, baptism, dancing and family photos. Color: Red, Ivory, Black, White, Dusty rose Depending on the supply of fabrics, shades of the same color may differ slightly. If you order a dress for the same event together with another of my customers, write about it in the comments to the order. I will use the same shade of fabric. Please check the measurements before

10% SALE FOR THE FIRST ORDER

This dress is perfect for birthday, wedding, first communion, baptism, dancing and family photos.

Color:

Red, Ivory, Black, White, Dusty rose

Depending on the supply of fabrics, shades of the same color may differ slightly. If you order a dress for the same event together with another of my customers, write about it in the comments to the order. I will use the same shade of fabric.

Please check the measurements before placing your order.

MEASUREMENT
Size 1
Height 86cm / 33.8inch
Chest 52cm / 20.5inch
Waist 50cm / 19.6inch

Size 2
Height 92cm / 36.2inch
Chest 54cm / 21.3inch
Waist 51cm / 20inch

Size 3
Height 98cm / 38.5inch
Chest 55cm / 21.7inch
Waist 52cm / 20.5inch

Size 4
Height 104 cm / 41 inches
Chest 57cm / 22.4inch
Waist 54cm / 21.2inch

Size 5
Height 110cm / 43.3inch
Chest 60cm / 23.6inch
Waist 56cm / 21.6inch

Size 6
Height 116cm / 45.6inch
Chest 61cm / 24inch
Waist 58cm / 22.8inch

Size 7
Height 122 cm / 48 inches
Chest 63cm / 24.8inch
Waist 60cm / 23.6inch

Size 8
Height 128cm / 50.4inch
Chest 65cm / 25.6inch
Waist 60cm / 23.6inch

Size 9
Height 134cm / 52.7inch
Chest 67cm / 26.3inch
Waist 62cm / 24.4inch

Size 10
Height 140cm / 55.1inch
Chest 69cm / 27.1inch
Waist 63cm / 24.8inch

Size 11
Height 146cm / 57.5inch
Chest 72cm / 28.3inch
Waist 65cm / 25.6inch

Size 12
Height 152 cm / 60 inches
Chest 75cm / 29.5inch
Waist 67cm / 26.3inch

Please choose the size according to our size chart which is posted in each listing. We can also make a custom size for you. Just choose the size close to your individual measurements and leave them in the notes at checkout please. The buyer is responsible for the measurements and we don't refund/exchange the item if it's made to incorrect measurements. The same is applied to custom order items.

Custom measurements
Please keep in mind that the customer is solely responsible for the measurements that he leaves in the comments to the order. If your event after a while, calculate how your girl can grow up by this time. And write down the measurements considering that the girl will grow up. I do not add to the growth and sew the dress exactly according to the measurements that you wrote in the comments to the order.

Custom size and custom size +
If your girl's measurements are between sizes and you want me to make your order according to individual measurements, please select the "custom size" option.
If your girl's measurements are over 60 inches, chest 32 inches and waist 30 inches please select the "custom size +" option.

Please note that each item is unique and handmade to order. The finished product may slightly differ from the image in the shade of fabrics. Contact me if the shade of the fabric matters to you and the dresses are ordered for one event.

We recommend that you steam the dress on arrival.

Orders placed with free shipping usually arrive within 3-5 weeks. If you want it to be delivered earlier, please select the type of express delivery that suits you when placing your order.

If you have any questions, do not hesitate to contact me!

Import duties, taxes and charges are not included in the item price or shipping charges.
These charges are the buyer's responsibility.
Please check with your country's customs office to determine what these additional costs will be prior to bidding / buying.
These charges are normally collected by the delivering freight (shipping) company or when you pick the item up - do not confuse them for additional shipping charges.

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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: 88198113022

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4.1 ★★★★★
Based on 222 reviews
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Verified Purchase
William P Ross
Belleville, 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
Alexandria, 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
Charlottesville, 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
Dallas, 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
Lake Worth, 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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